b-atmaja
commited on
Commit
•
9c3cfb1
1
Parent(s):
b6910e3
wav2vec2.0 model
Browse files- all_results.json +14 -0
- config.json +102 -0
- eval_results.json +9 -0
- preprocessor_config.json +9 -0
- pytorch_model.bin +3 -0
- train_results.json +8 -0
- trainer_state.json +3265 -0
- training_args.bin +3 -0
all_results.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"eval_accuracy": 1.0,
|
4 |
+
"eval_loss": 7.493398243241245e-06,
|
5 |
+
"eval_runtime": 2131.9622,
|
6 |
+
"eval_samples": 34560,
|
7 |
+
"eval_samples_per_second": 16.21,
|
8 |
+
"eval_steps_per_second": 4.053,
|
9 |
+
"train_loss": 0.003923701412147946,
|
10 |
+
"train_runtime": 97975.3145,
|
11 |
+
"train_samples": 34560,
|
12 |
+
"train_samples_per_second": 1.764,
|
13 |
+
"train_steps_per_second": 0.22
|
14 |
+
}
|
config.json
ADDED
@@ -0,0 +1,102 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "vumichien/wav2vec2-large-xlsr-japanese-hiragana",
|
3 |
+
"activation_dropout": 0.0,
|
4 |
+
"apply_spec_augment": true,
|
5 |
+
"architectures": [
|
6 |
+
"Wav2Vec2ForSpeechClassification"
|
7 |
+
],
|
8 |
+
"attention_dropout": 0.15,
|
9 |
+
"bos_token_id": 1,
|
10 |
+
"classifier_proj_size": 256,
|
11 |
+
"codevector_dim": 256,
|
12 |
+
"contrastive_logits_temperature": 0.1,
|
13 |
+
"conv_bias": true,
|
14 |
+
"conv_dim": [
|
15 |
+
512,
|
16 |
+
512,
|
17 |
+
512,
|
18 |
+
512,
|
19 |
+
512,
|
20 |
+
512,
|
21 |
+
512
|
22 |
+
],
|
23 |
+
"conv_kernel": [
|
24 |
+
10,
|
25 |
+
3,
|
26 |
+
3,
|
27 |
+
3,
|
28 |
+
3,
|
29 |
+
2,
|
30 |
+
2
|
31 |
+
],
|
32 |
+
"conv_stride": [
|
33 |
+
5,
|
34 |
+
2,
|
35 |
+
2,
|
36 |
+
2,
|
37 |
+
2,
|
38 |
+
2,
|
39 |
+
2
|
40 |
+
],
|
41 |
+
"ctc_loss_reduction": "mean",
|
42 |
+
"ctc_zero_infinity": false,
|
43 |
+
"diversity_loss_weight": 0.1,
|
44 |
+
"do_stable_layer_norm": true,
|
45 |
+
"eos_token_id": 2,
|
46 |
+
"feat_extract_activation": "gelu",
|
47 |
+
"feat_extract_dropout": 0.0,
|
48 |
+
"feat_extract_norm": "layer",
|
49 |
+
"feat_proj_dropout": 0.2,
|
50 |
+
"feat_quantizer_dropout": 0.0,
|
51 |
+
"final_dropout": 0.0,
|
52 |
+
"finetuning_task": "wav2vec2_clf",
|
53 |
+
"gradient_checkpointing": true,
|
54 |
+
"hidden_act": "gelu",
|
55 |
+
"hidden_dropout": 0.15,
|
56 |
+
"hidden_size": 1024,
|
57 |
+
"id2label": {
|
58 |
+
"0": "ang",
|
59 |
+
"1": "joy",
|
60 |
+
"2": "neu",
|
61 |
+
"3": "sad"
|
62 |
+
},
|
63 |
+
"initializer_range": 0.02,
|
64 |
+
"intermediate_size": 4096,
|
65 |
+
"label2id": {
|
66 |
+
"ang": 0,
|
67 |
+
"joy": 1,
|
68 |
+
"neu": 2,
|
69 |
+
"sad": 3
|
70 |
+
},
|
71 |
+
"layer_norm_eps": 1e-05,
|
72 |
+
"layerdrop": 0.15,
|
73 |
+
"mask_channel_length": 10,
|
74 |
+
"mask_channel_min_space": 1,
|
75 |
+
"mask_channel_other": 0.0,
|
76 |
+
"mask_channel_prob": 0.0,
|
77 |
+
"mask_channel_selection": "static",
|
78 |
+
"mask_feature_length": 10,
|
79 |
+
"mask_feature_prob": 0.0,
|
80 |
+
"mask_time_length": 10,
|
81 |
+
"mask_time_min_space": 1,
|
82 |
+
"mask_time_other": 0.0,
|
83 |
+
"mask_time_prob": 0.1,
|
84 |
+
"mask_time_selection": "static",
|
85 |
+
"model_type": "wav2vec2",
|
86 |
+
"num_attention_heads": 16,
|
87 |
+
"num_codevector_groups": 2,
|
88 |
+
"num_codevectors_per_group": 320,
|
89 |
+
"num_conv_pos_embedding_groups": 16,
|
90 |
+
"num_conv_pos_embeddings": 128,
|
91 |
+
"num_feat_extract_layers": 7,
|
92 |
+
"num_hidden_layers": 24,
|
93 |
+
"num_negatives": 100,
|
94 |
+
"pad_token_id": 85,
|
95 |
+
"pooling_mode": "mean",
|
96 |
+
"problem_type": "single_label_classification",
|
97 |
+
"proj_codevector_dim": 256,
|
98 |
+
"torch_dtype": "float32",
|
99 |
+
"transformers_version": "4.11.0.dev0",
|
100 |
+
"use_weighted_layer_sum": false,
|
101 |
+
"vocab_size": 86
|
102 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"eval_accuracy": 1.0,
|
4 |
+
"eval_loss": 7.493398243241245e-06,
|
5 |
+
"eval_runtime": 2131.9622,
|
6 |
+
"eval_samples": 34560,
|
7 |
+
"eval_samples_per_second": 16.21,
|
8 |
+
"eval_steps_per_second": 4.053
|
9 |
+
}
|
preprocessor_config.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_normalize": true,
|
3 |
+
"feature_extractor_type": "Wav2Vec2FeatureExtractor",
|
4 |
+
"feature_size": 1,
|
5 |
+
"padding_side": "right",
|
6 |
+
"padding_value": 0.0,
|
7 |
+
"return_attention_mask": true,
|
8 |
+
"sampling_rate": 16000
|
9 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7d10b892b25d84bd85b4ae45b39196c5e427fa19890cc22bc2b2d13daec8719d
|
3 |
+
size 1266139245
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"train_loss": 0.003923701412147946,
|
4 |
+
"train_runtime": 97975.3145,
|
5 |
+
"train_samples": 34560,
|
6 |
+
"train_samples_per_second": 1.764,
|
7 |
+
"train_steps_per_second": 0.22
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,3265 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 5.0,
|
5 |
+
"global_step": 21600,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.02,
|
12 |
+
"learning_rate": 9.953703703703704e-05,
|
13 |
+
"loss": 1.1352,
|
14 |
+
"step": 100
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.02,
|
18 |
+
"eval_accuracy": 0.7482928037643433,
|
19 |
+
"eval_loss": 0.6091228127479553,
|
20 |
+
"eval_runtime": 1960.8351,
|
21 |
+
"eval_samples_per_second": 17.625,
|
22 |
+
"eval_steps_per_second": 4.406,
|
23 |
+
"step": 100
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.05,
|
27 |
+
"learning_rate": 9.907407407407407e-05,
|
28 |
+
"loss": 0.5497,
|
29 |
+
"step": 200
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"epoch": 0.05,
|
33 |
+
"eval_accuracy": 0.9043981432914734,
|
34 |
+
"eval_loss": 0.2794453501701355,
|
35 |
+
"eval_runtime": 2070.7116,
|
36 |
+
"eval_samples_per_second": 16.69,
|
37 |
+
"eval_steps_per_second": 4.172,
|
38 |
+
"step": 200
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.07,
|
42 |
+
"learning_rate": 9.861111111111112e-05,
|
43 |
+
"loss": 0.4001,
|
44 |
+
"step": 300
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.07,
|
48 |
+
"eval_accuracy": 0.9633391499519348,
|
49 |
+
"eval_loss": 0.1039256900548935,
|
50 |
+
"eval_runtime": 2051.9615,
|
51 |
+
"eval_samples_per_second": 16.842,
|
52 |
+
"eval_steps_per_second": 4.211,
|
53 |
+
"step": 300
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 0.09,
|
57 |
+
"learning_rate": 9.814814814814815e-05,
|
58 |
+
"loss": 0.2967,
|
59 |
+
"step": 400
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.09,
|
63 |
+
"eval_accuracy": 0.9760127067565918,
|
64 |
+
"eval_loss": 0.0726834237575531,
|
65 |
+
"eval_runtime": 1976.3465,
|
66 |
+
"eval_samples_per_second": 17.487,
|
67 |
+
"eval_steps_per_second": 4.372,
|
68 |
+
"step": 400
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.12,
|
72 |
+
"learning_rate": 9.768518518518519e-05,
|
73 |
+
"loss": 0.2572,
|
74 |
+
"step": 500
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.12,
|
78 |
+
"eval_accuracy": 0.9752025604248047,
|
79 |
+
"eval_loss": 0.07836401462554932,
|
80 |
+
"eval_runtime": 1953.8972,
|
81 |
+
"eval_samples_per_second": 17.688,
|
82 |
+
"eval_steps_per_second": 4.422,
|
83 |
+
"step": 500
|
84 |
+
},
|
85 |
+
{
|
86 |
+
"epoch": 0.14,
|
87 |
+
"learning_rate": 9.722222222222223e-05,
|
88 |
+
"loss": 0.1858,
|
89 |
+
"step": 600
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 0.14,
|
93 |
+
"eval_accuracy": 0.987442135810852,
|
94 |
+
"eval_loss": 0.03908771649003029,
|
95 |
+
"eval_runtime": 1933.1285,
|
96 |
+
"eval_samples_per_second": 17.878,
|
97 |
+
"eval_steps_per_second": 4.469,
|
98 |
+
"step": 600
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.16,
|
102 |
+
"learning_rate": 9.675925925925926e-05,
|
103 |
+
"loss": 0.1776,
|
104 |
+
"step": 700
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.16,
|
108 |
+
"eval_accuracy": 0.9870080947875977,
|
109 |
+
"eval_loss": 0.046012409031391144,
|
110 |
+
"eval_runtime": 2073.2574,
|
111 |
+
"eval_samples_per_second": 16.669,
|
112 |
+
"eval_steps_per_second": 4.167,
|
113 |
+
"step": 700
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 0.19,
|
117 |
+
"learning_rate": 9.62962962962963e-05,
|
118 |
+
"loss": 0.1253,
|
119 |
+
"step": 800
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 0.19,
|
123 |
+
"eval_accuracy": 0.987442135810852,
|
124 |
+
"eval_loss": 0.04302794486284256,
|
125 |
+
"eval_runtime": 2100.3436,
|
126 |
+
"eval_samples_per_second": 16.454,
|
127 |
+
"eval_steps_per_second": 4.114,
|
128 |
+
"step": 800
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.21,
|
132 |
+
"learning_rate": 9.583333333333334e-05,
|
133 |
+
"loss": 0.1509,
|
134 |
+
"step": 900
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.21,
|
138 |
+
"eval_accuracy": 0.9821469783782959,
|
139 |
+
"eval_loss": 0.06500900536775589,
|
140 |
+
"eval_runtime": 2096.1889,
|
141 |
+
"eval_samples_per_second": 16.487,
|
142 |
+
"eval_steps_per_second": 4.122,
|
143 |
+
"step": 900
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 0.23,
|
147 |
+
"learning_rate": 9.537037037037038e-05,
|
148 |
+
"loss": 0.1574,
|
149 |
+
"step": 1000
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.23,
|
153 |
+
"eval_accuracy": 0.9847221970558167,
|
154 |
+
"eval_loss": 0.059933874756097794,
|
155 |
+
"eval_runtime": 2109.7765,
|
156 |
+
"eval_samples_per_second": 16.381,
|
157 |
+
"eval_steps_per_second": 4.095,
|
158 |
+
"step": 1000
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.25,
|
162 |
+
"learning_rate": 9.490740740740742e-05,
|
163 |
+
"loss": 0.1506,
|
164 |
+
"step": 1100
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.25,
|
168 |
+
"eval_accuracy": 0.9896122813224792,
|
169 |
+
"eval_loss": 0.034695032984018326,
|
170 |
+
"eval_runtime": 2117.6815,
|
171 |
+
"eval_samples_per_second": 16.32,
|
172 |
+
"eval_steps_per_second": 4.08,
|
173 |
+
"step": 1100
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 0.28,
|
177 |
+
"learning_rate": 9.444444444444444e-05,
|
178 |
+
"loss": 0.118,
|
179 |
+
"step": 1200
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 0.28,
|
183 |
+
"eval_accuracy": 0.9911168813705444,
|
184 |
+
"eval_loss": 0.03316599503159523,
|
185 |
+
"eval_runtime": 2107.0764,
|
186 |
+
"eval_samples_per_second": 16.402,
|
187 |
+
"eval_steps_per_second": 4.1,
|
188 |
+
"step": 1200
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.3,
|
192 |
+
"learning_rate": 9.398148148148148e-05,
|
193 |
+
"loss": 0.0885,
|
194 |
+
"step": 1300
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.3,
|
198 |
+
"eval_accuracy": 0.9947627186775208,
|
199 |
+
"eval_loss": 0.019724205136299133,
|
200 |
+
"eval_runtime": 2100.2147,
|
201 |
+
"eval_samples_per_second": 16.455,
|
202 |
+
"eval_steps_per_second": 4.114,
|
203 |
+
"step": 1300
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 0.32,
|
207 |
+
"learning_rate": 9.351851851851852e-05,
|
208 |
+
"loss": 0.0967,
|
209 |
+
"step": 1400
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 0.32,
|
213 |
+
"eval_accuracy": 0.9936053156852722,
|
214 |
+
"eval_loss": 0.022701723501086235,
|
215 |
+
"eval_runtime": 2110.6117,
|
216 |
+
"eval_samples_per_second": 16.374,
|
217 |
+
"eval_steps_per_second": 4.094,
|
218 |
+
"step": 1400
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.35,
|
222 |
+
"learning_rate": 9.305555555555556e-05,
|
223 |
+
"loss": 0.0882,
|
224 |
+
"step": 1500
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.35,
|
228 |
+
"eval_accuracy": 0.992274284362793,
|
229 |
+
"eval_loss": 0.02855427749454975,
|
230 |
+
"eval_runtime": 2115.7419,
|
231 |
+
"eval_samples_per_second": 16.335,
|
232 |
+
"eval_steps_per_second": 4.084,
|
233 |
+
"step": 1500
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.37,
|
237 |
+
"learning_rate": 9.25925925925926e-05,
|
238 |
+
"loss": 0.1056,
|
239 |
+
"step": 1600
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 0.37,
|
243 |
+
"eval_accuracy": 0.9962384104728699,
|
244 |
+
"eval_loss": 0.015638431534171104,
|
245 |
+
"eval_runtime": 2093.1202,
|
246 |
+
"eval_samples_per_second": 16.511,
|
247 |
+
"eval_steps_per_second": 4.128,
|
248 |
+
"step": 1600
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.39,
|
252 |
+
"learning_rate": 9.212962962962963e-05,
|
253 |
+
"loss": 0.1124,
|
254 |
+
"step": 1700
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.39,
|
258 |
+
"eval_accuracy": 0.9942708611488342,
|
259 |
+
"eval_loss": 0.023519381880760193,
|
260 |
+
"eval_runtime": 2715.3988,
|
261 |
+
"eval_samples_per_second": 12.727,
|
262 |
+
"eval_steps_per_second": 3.182,
|
263 |
+
"step": 1700
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 0.42,
|
267 |
+
"learning_rate": 9.166666666666667e-05,
|
268 |
+
"loss": 0.0813,
|
269 |
+
"step": 1800
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 0.42,
|
273 |
+
"eval_accuracy": 0.995341420173645,
|
274 |
+
"eval_loss": 0.017750833183526993,
|
275 |
+
"eval_runtime": 2099.7025,
|
276 |
+
"eval_samples_per_second": 16.459,
|
277 |
+
"eval_steps_per_second": 4.115,
|
278 |
+
"step": 1800
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.44,
|
282 |
+
"learning_rate": 9.120370370370371e-05,
|
283 |
+
"loss": 0.0609,
|
284 |
+
"step": 1900
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.44,
|
288 |
+
"eval_accuracy": 0.9971932768821716,
|
289 |
+
"eval_loss": 0.011351389810442924,
|
290 |
+
"eval_runtime": 2142.3716,
|
291 |
+
"eval_samples_per_second": 16.132,
|
292 |
+
"eval_steps_per_second": 4.033,
|
293 |
+
"step": 1900
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 0.46,
|
297 |
+
"learning_rate": 9.074074074074075e-05,
|
298 |
+
"loss": 0.0891,
|
299 |
+
"step": 2000
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 0.46,
|
303 |
+
"eval_accuracy": 0.9973379373550415,
|
304 |
+
"eval_loss": 0.012310467660427094,
|
305 |
+
"eval_runtime": 2095.1245,
|
306 |
+
"eval_samples_per_second": 16.495,
|
307 |
+
"eval_steps_per_second": 4.124,
|
308 |
+
"step": 2000
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 0.49,
|
312 |
+
"learning_rate": 9.027777777777779e-05,
|
313 |
+
"loss": 0.0424,
|
314 |
+
"step": 2100
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 0.49,
|
318 |
+
"eval_accuracy": 0.9985821843147278,
|
319 |
+
"eval_loss": 0.00660862447693944,
|
320 |
+
"eval_runtime": 2101.8862,
|
321 |
+
"eval_samples_per_second": 16.442,
|
322 |
+
"eval_steps_per_second": 4.111,
|
323 |
+
"step": 2100
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 0.51,
|
327 |
+
"learning_rate": 8.981481481481481e-05,
|
328 |
+
"loss": 0.0546,
|
329 |
+
"step": 2200
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 0.51,
|
333 |
+
"eval_accuracy": 0.9950520992279053,
|
334 |
+
"eval_loss": 0.021980540826916695,
|
335 |
+
"eval_runtime": 2121.7281,
|
336 |
+
"eval_samples_per_second": 16.289,
|
337 |
+
"eval_steps_per_second": 4.072,
|
338 |
+
"step": 2200
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.53,
|
342 |
+
"learning_rate": 8.935185185185185e-05,
|
343 |
+
"loss": 0.146,
|
344 |
+
"step": 2300
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 0.53,
|
348 |
+
"eval_accuracy": 0.9940393567085266,
|
349 |
+
"eval_loss": 0.02473669871687889,
|
350 |
+
"eval_runtime": 2062.8449,
|
351 |
+
"eval_samples_per_second": 16.754,
|
352 |
+
"eval_steps_per_second": 4.188,
|
353 |
+
"step": 2300
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.56,
|
357 |
+
"learning_rate": 8.888888888888889e-05,
|
358 |
+
"loss": 0.1174,
|
359 |
+
"step": 2400
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.56,
|
363 |
+
"eval_accuracy": 0.9958622455596924,
|
364 |
+
"eval_loss": 0.01570066250860691,
|
365 |
+
"eval_runtime": 2017.5974,
|
366 |
+
"eval_samples_per_second": 17.129,
|
367 |
+
"eval_steps_per_second": 4.282,
|
368 |
+
"step": 2400
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 0.58,
|
372 |
+
"learning_rate": 8.842592592592593e-05,
|
373 |
+
"loss": 0.0848,
|
374 |
+
"step": 2500
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.58,
|
378 |
+
"eval_accuracy": 0.9978298544883728,
|
379 |
+
"eval_loss": 0.008064490742981434,
|
380 |
+
"eval_runtime": 2005.1771,
|
381 |
+
"eval_samples_per_second": 17.235,
|
382 |
+
"eval_steps_per_second": 4.309,
|
383 |
+
"step": 2500
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 0.6,
|
387 |
+
"learning_rate": 8.796296296296297e-05,
|
388 |
+
"loss": 0.0792,
|
389 |
+
"step": 2600
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 0.6,
|
393 |
+
"eval_accuracy": 0.9986110925674438,
|
394 |
+
"eval_loss": 0.004222337622195482,
|
395 |
+
"eval_runtime": 1999.0902,
|
396 |
+
"eval_samples_per_second": 17.288,
|
397 |
+
"eval_steps_per_second": 4.322,
|
398 |
+
"step": 2600
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 0.62,
|
402 |
+
"learning_rate": 8.75e-05,
|
403 |
+
"loss": 0.0482,
|
404 |
+
"step": 2700
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 0.62,
|
408 |
+
"eval_accuracy": 0.9971354007720947,
|
409 |
+
"eval_loss": 0.01219157688319683,
|
410 |
+
"eval_runtime": 2001.1288,
|
411 |
+
"eval_samples_per_second": 17.27,
|
412 |
+
"eval_steps_per_second": 4.318,
|
413 |
+
"step": 2700
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 0.65,
|
417 |
+
"learning_rate": 8.703703703703704e-05,
|
418 |
+
"loss": 0.0697,
|
419 |
+
"step": 2800
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 0.65,
|
423 |
+
"eval_accuracy": 0.9931133985519409,
|
424 |
+
"eval_loss": 0.027987554669380188,
|
425 |
+
"eval_runtime": 1997.1851,
|
426 |
+
"eval_samples_per_second": 17.304,
|
427 |
+
"eval_steps_per_second": 4.326,
|
428 |
+
"step": 2800
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 0.67,
|
432 |
+
"learning_rate": 8.657407407407408e-05,
|
433 |
+
"loss": 0.106,
|
434 |
+
"step": 2900
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 0.67,
|
438 |
+
"eval_accuracy": 0.9977430701255798,
|
439 |
+
"eval_loss": 0.008220946416258812,
|
440 |
+
"eval_runtime": 2609.175,
|
441 |
+
"eval_samples_per_second": 13.246,
|
442 |
+
"eval_steps_per_second": 3.311,
|
443 |
+
"step": 2900
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.69,
|
447 |
+
"learning_rate": 8.611111111111112e-05,
|
448 |
+
"loss": 0.052,
|
449 |
+
"step": 3000
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 0.69,
|
453 |
+
"eval_accuracy": 0.9971932768821716,
|
454 |
+
"eval_loss": 0.01051583793014288,
|
455 |
+
"eval_runtime": 1971.9035,
|
456 |
+
"eval_samples_per_second": 17.526,
|
457 |
+
"eval_steps_per_second": 4.382,
|
458 |
+
"step": 3000
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.72,
|
462 |
+
"learning_rate": 8.564814814814816e-05,
|
463 |
+
"loss": 0.047,
|
464 |
+
"step": 3100
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.72,
|
468 |
+
"eval_accuracy": 0.9978588223457336,
|
469 |
+
"eval_loss": 0.009094738401472569,
|
470 |
+
"eval_runtime": 1980.5023,
|
471 |
+
"eval_samples_per_second": 17.45,
|
472 |
+
"eval_steps_per_second": 4.363,
|
473 |
+
"step": 3100
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 0.74,
|
477 |
+
"learning_rate": 8.518518518518518e-05,
|
478 |
+
"loss": 0.0495,
|
479 |
+
"step": 3200
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 0.74,
|
483 |
+
"eval_accuracy": 0.998466432094574,
|
484 |
+
"eval_loss": 0.006100042257457972,
|
485 |
+
"eval_runtime": 2070.7502,
|
486 |
+
"eval_samples_per_second": 16.69,
|
487 |
+
"eval_steps_per_second": 4.172,
|
488 |
+
"step": 3200
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 0.76,
|
492 |
+
"learning_rate": 8.472222222222222e-05,
|
493 |
+
"loss": 0.0979,
|
494 |
+
"step": 3300
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 0.76,
|
498 |
+
"eval_accuracy": 0.9978588223457336,
|
499 |
+
"eval_loss": 0.009109850972890854,
|
500 |
+
"eval_runtime": 1970.0999,
|
501 |
+
"eval_samples_per_second": 17.542,
|
502 |
+
"eval_steps_per_second": 4.386,
|
503 |
+
"step": 3300
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 0.79,
|
507 |
+
"learning_rate": 8.425925925925926e-05,
|
508 |
+
"loss": 0.0381,
|
509 |
+
"step": 3400
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 0.79,
|
513 |
+
"eval_accuracy": 0.9951099753379822,
|
514 |
+
"eval_loss": 0.021163903176784515,
|
515 |
+
"eval_runtime": 1977.6331,
|
516 |
+
"eval_samples_per_second": 17.475,
|
517 |
+
"eval_steps_per_second": 4.369,
|
518 |
+
"step": 3400
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 0.81,
|
522 |
+
"learning_rate": 8.379629629629629e-05,
|
523 |
+
"loss": 0.0268,
|
524 |
+
"step": 3500
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 0.81,
|
528 |
+
"eval_accuracy": 0.9980034828186035,
|
529 |
+
"eval_loss": 0.008532223291695118,
|
530 |
+
"eval_runtime": 1971.1529,
|
531 |
+
"eval_samples_per_second": 17.533,
|
532 |
+
"eval_steps_per_second": 4.383,
|
533 |
+
"step": 3500
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 0.83,
|
537 |
+
"learning_rate": 8.333333333333334e-05,
|
538 |
+
"loss": 0.073,
|
539 |
+
"step": 3600
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 0.83,
|
543 |
+
"eval_accuracy": 0.9961516261100769,
|
544 |
+
"eval_loss": 0.017610933631658554,
|
545 |
+
"eval_runtime": 1957.2329,
|
546 |
+
"eval_samples_per_second": 17.658,
|
547 |
+
"eval_steps_per_second": 4.414,
|
548 |
+
"step": 3600
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.86,
|
552 |
+
"learning_rate": 8.287037037037037e-05,
|
553 |
+
"loss": 0.0585,
|
554 |
+
"step": 3700
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 0.86,
|
558 |
+
"eval_accuracy": 0.9971354007720947,
|
559 |
+
"eval_loss": 0.011580849066376686,
|
560 |
+
"eval_runtime": 1962.4064,
|
561 |
+
"eval_samples_per_second": 17.611,
|
562 |
+
"eval_steps_per_second": 4.403,
|
563 |
+
"step": 3700
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 0.88,
|
567 |
+
"learning_rate": 8.240740740740741e-05,
|
568 |
+
"loss": 0.0868,
|
569 |
+
"step": 3800
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.88,
|
573 |
+
"eval_accuracy": 0.9994502067565918,
|
574 |
+
"eval_loss": 0.00212017516605556,
|
575 |
+
"eval_runtime": 1982.4259,
|
576 |
+
"eval_samples_per_second": 17.433,
|
577 |
+
"eval_steps_per_second": 4.358,
|
578 |
+
"step": 3800
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 0.9,
|
582 |
+
"learning_rate": 8.194444444444445e-05,
|
583 |
+
"loss": 0.0496,
|
584 |
+
"step": 3900
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 0.9,
|
588 |
+
"eval_accuracy": 0.9978877305984497,
|
589 |
+
"eval_loss": 0.008284298703074455,
|
590 |
+
"eval_runtime": 1983.4898,
|
591 |
+
"eval_samples_per_second": 17.424,
|
592 |
+
"eval_steps_per_second": 4.356,
|
593 |
+
"step": 3900
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 0.93,
|
597 |
+
"learning_rate": 8.148148148148148e-05,
|
598 |
+
"loss": 0.0641,
|
599 |
+
"step": 4000
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 0.93,
|
603 |
+
"eval_accuracy": 0.9967592358589172,
|
604 |
+
"eval_loss": 0.013520145788788795,
|
605 |
+
"eval_runtime": 1998.2946,
|
606 |
+
"eval_samples_per_second": 17.295,
|
607 |
+
"eval_steps_per_second": 4.324,
|
608 |
+
"step": 4000
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 0.95,
|
612 |
+
"learning_rate": 8.101851851851853e-05,
|
613 |
+
"loss": 0.0858,
|
614 |
+
"step": 4100
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 0.95,
|
618 |
+
"eval_accuracy": 0.9989872574806213,
|
619 |
+
"eval_loss": 0.003793817013502121,
|
620 |
+
"eval_runtime": 2125.8264,
|
621 |
+
"eval_samples_per_second": 16.257,
|
622 |
+
"eval_steps_per_second": 4.064,
|
623 |
+
"step": 4100
|
624 |
+
},
|
625 |
+
{
|
626 |
+
"epoch": 0.97,
|
627 |
+
"learning_rate": 8.055555555555556e-05,
|
628 |
+
"loss": 0.0483,
|
629 |
+
"step": 4200
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 0.97,
|
633 |
+
"eval_accuracy": 0.9978588223457336,
|
634 |
+
"eval_loss": 0.009265501983463764,
|
635 |
+
"eval_runtime": 2260.2096,
|
636 |
+
"eval_samples_per_second": 15.291,
|
637 |
+
"eval_steps_per_second": 3.823,
|
638 |
+
"step": 4200
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 1.0,
|
642 |
+
"learning_rate": 8.00925925925926e-05,
|
643 |
+
"loss": 0.1115,
|
644 |
+
"step": 4300
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 1.0,
|
648 |
+
"eval_accuracy": 0.9990162253379822,
|
649 |
+
"eval_loss": 0.003752070013433695,
|
650 |
+
"eval_runtime": 1992.5237,
|
651 |
+
"eval_samples_per_second": 17.345,
|
652 |
+
"eval_steps_per_second": 4.336,
|
653 |
+
"step": 4300
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 1.02,
|
657 |
+
"learning_rate": 7.962962962962964e-05,
|
658 |
+
"loss": 0.0486,
|
659 |
+
"step": 4400
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 1.02,
|
663 |
+
"eval_accuracy": 0.9991897940635681,
|
664 |
+
"eval_loss": 0.0031358152627944946,
|
665 |
+
"eval_runtime": 1985.6758,
|
666 |
+
"eval_samples_per_second": 17.405,
|
667 |
+
"eval_steps_per_second": 4.351,
|
668 |
+
"step": 4400
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 1.04,
|
672 |
+
"learning_rate": 7.916666666666666e-05,
|
673 |
+
"loss": 0.0166,
|
674 |
+
"step": 4500
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 1.04,
|
678 |
+
"eval_accuracy": 0.9995370507240295,
|
679 |
+
"eval_loss": 0.002144153229892254,
|
680 |
+
"eval_runtime": 2034.5738,
|
681 |
+
"eval_samples_per_second": 16.986,
|
682 |
+
"eval_steps_per_second": 4.247,
|
683 |
+
"step": 4500
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"epoch": 1.06,
|
687 |
+
"learning_rate": 7.870370370370372e-05,
|
688 |
+
"loss": 0.0084,
|
689 |
+
"step": 4600
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 1.06,
|
693 |
+
"eval_accuracy": 0.9986979365348816,
|
694 |
+
"eval_loss": 0.006190824322402477,
|
695 |
+
"eval_runtime": 2022.3112,
|
696 |
+
"eval_samples_per_second": 17.089,
|
697 |
+
"eval_steps_per_second": 4.272,
|
698 |
+
"step": 4600
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 1.09,
|
702 |
+
"learning_rate": 7.824074074074074e-05,
|
703 |
+
"loss": 0.0205,
|
704 |
+
"step": 4700
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 1.09,
|
708 |
+
"eval_accuracy": 0.999160885810852,
|
709 |
+
"eval_loss": 0.0034529021941125393,
|
710 |
+
"eval_runtime": 2036.3231,
|
711 |
+
"eval_samples_per_second": 16.972,
|
712 |
+
"eval_steps_per_second": 4.243,
|
713 |
+
"step": 4700
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 1.11,
|
717 |
+
"learning_rate": 7.777777777777778e-05,
|
718 |
+
"loss": 0.0217,
|
719 |
+
"step": 4800
|
720 |
+
},
|
721 |
+
{
|
722 |
+
"epoch": 1.11,
|
723 |
+
"eval_accuracy": 0.9973379373550415,
|
724 |
+
"eval_loss": 0.012433897703886032,
|
725 |
+
"eval_runtime": 2054.4934,
|
726 |
+
"eval_samples_per_second": 16.822,
|
727 |
+
"eval_steps_per_second": 4.205,
|
728 |
+
"step": 4800
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 1.13,
|
732 |
+
"learning_rate": 7.731481481481482e-05,
|
733 |
+
"loss": 0.0407,
|
734 |
+
"step": 4900
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 1.13,
|
738 |
+
"eval_accuracy": 0.9991030097007751,
|
739 |
+
"eval_loss": 0.004298593383282423,
|
740 |
+
"eval_runtime": 2009.8166,
|
741 |
+
"eval_samples_per_second": 17.196,
|
742 |
+
"eval_steps_per_second": 4.299,
|
743 |
+
"step": 4900
|
744 |
+
},
|
745 |
+
{
|
746 |
+
"epoch": 1.16,
|
747 |
+
"learning_rate": 7.685185185185185e-05,
|
748 |
+
"loss": 0.0598,
|
749 |
+
"step": 5000
|
750 |
+
},
|
751 |
+
{
|
752 |
+
"epoch": 1.16,
|
753 |
+
"eval_accuracy": 0.9981771111488342,
|
754 |
+
"eval_loss": 0.007797444239258766,
|
755 |
+
"eval_runtime": 1996.948,
|
756 |
+
"eval_samples_per_second": 17.306,
|
757 |
+
"eval_steps_per_second": 4.327,
|
758 |
+
"step": 5000
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 1.18,
|
762 |
+
"learning_rate": 7.638888888888889e-05,
|
763 |
+
"loss": 0.058,
|
764 |
+
"step": 5100
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 1.18,
|
768 |
+
"eval_accuracy": 0.9981192350387573,
|
769 |
+
"eval_loss": 0.009161165915429592,
|
770 |
+
"eval_runtime": 2007.394,
|
771 |
+
"eval_samples_per_second": 17.216,
|
772 |
+
"eval_steps_per_second": 4.304,
|
773 |
+
"step": 5100
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 1.2,
|
777 |
+
"learning_rate": 7.592592592592593e-05,
|
778 |
+
"loss": 0.0119,
|
779 |
+
"step": 5200
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 1.2,
|
783 |
+
"eval_accuracy": 0.9994502067565918,
|
784 |
+
"eval_loss": 0.0023240004666149616,
|
785 |
+
"eval_runtime": 2021.6614,
|
786 |
+
"eval_samples_per_second": 17.095,
|
787 |
+
"eval_steps_per_second": 4.274,
|
788 |
+
"step": 5200
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 1.23,
|
792 |
+
"learning_rate": 7.546296296296297e-05,
|
793 |
+
"loss": 0.08,
|
794 |
+
"step": 5300
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 1.23,
|
798 |
+
"eval_accuracy": 0.9976562261581421,
|
799 |
+
"eval_loss": 0.009528687223792076,
|
800 |
+
"eval_runtime": 2024.2247,
|
801 |
+
"eval_samples_per_second": 17.073,
|
802 |
+
"eval_steps_per_second": 4.268,
|
803 |
+
"step": 5300
|
804 |
+
},
|
805 |
+
{
|
806 |
+
"epoch": 1.25,
|
807 |
+
"learning_rate": 7.500000000000001e-05,
|
808 |
+
"loss": 0.0336,
|
809 |
+
"step": 5400
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 1.25,
|
813 |
+
"eval_accuracy": 0.9995949268341064,
|
814 |
+
"eval_loss": 0.0020153559744358063,
|
815 |
+
"eval_runtime": 2005.7373,
|
816 |
+
"eval_samples_per_second": 17.231,
|
817 |
+
"eval_steps_per_second": 4.308,
|
818 |
+
"step": 5400
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 1.27,
|
822 |
+
"learning_rate": 7.453703703703703e-05,
|
823 |
+
"loss": 0.0508,
|
824 |
+
"step": 5500
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 1.27,
|
828 |
+
"eval_accuracy": 0.9989004731178284,
|
829 |
+
"eval_loss": 0.00367682590149343,
|
830 |
+
"eval_runtime": 2024.401,
|
831 |
+
"eval_samples_per_second": 17.072,
|
832 |
+
"eval_steps_per_second": 4.268,
|
833 |
+
"step": 5500
|
834 |
+
},
|
835 |
+
{
|
836 |
+
"epoch": 1.3,
|
837 |
+
"learning_rate": 7.407407407407407e-05,
|
838 |
+
"loss": 0.0146,
|
839 |
+
"step": 5600
|
840 |
+
},
|
841 |
+
{
|
842 |
+
"epoch": 1.3,
|
843 |
+
"eval_accuracy": 0.9992766380310059,
|
844 |
+
"eval_loss": 0.002618621801957488,
|
845 |
+
"eval_runtime": 2017.6548,
|
846 |
+
"eval_samples_per_second": 17.129,
|
847 |
+
"eval_steps_per_second": 4.282,
|
848 |
+
"step": 5600
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 1.32,
|
852 |
+
"learning_rate": 7.361111111111111e-05,
|
853 |
+
"loss": 0.038,
|
854 |
+
"step": 5700
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 1.32,
|
858 |
+
"eval_accuracy": 0.9988425970077515,
|
859 |
+
"eval_loss": 0.00465565687045455,
|
860 |
+
"eval_runtime": 2002.1508,
|
861 |
+
"eval_samples_per_second": 17.261,
|
862 |
+
"eval_steps_per_second": 4.315,
|
863 |
+
"step": 5700
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 1.34,
|
867 |
+
"learning_rate": 7.314814814814815e-05,
|
868 |
+
"loss": 0.0613,
|
869 |
+
"step": 5800
|
870 |
+
},
|
871 |
+
{
|
872 |
+
"epoch": 1.34,
|
873 |
+
"eval_accuracy": 0.998379647731781,
|
874 |
+
"eval_loss": 0.005978360306471586,
|
875 |
+
"eval_runtime": 2001.292,
|
876 |
+
"eval_samples_per_second": 17.269,
|
877 |
+
"eval_steps_per_second": 4.317,
|
878 |
+
"step": 5800
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 1.37,
|
882 |
+
"learning_rate": 7.268518518518519e-05,
|
883 |
+
"loss": 0.0364,
|
884 |
+
"step": 5900
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 1.37,
|
888 |
+
"eval_accuracy": 0.9971064925193787,
|
889 |
+
"eval_loss": 0.01282673142850399,
|
890 |
+
"eval_runtime": 2012.1731,
|
891 |
+
"eval_samples_per_second": 17.175,
|
892 |
+
"eval_steps_per_second": 4.294,
|
893 |
+
"step": 5900
|
894 |
+
},
|
895 |
+
{
|
896 |
+
"epoch": 1.39,
|
897 |
+
"learning_rate": 7.222222222222222e-05,
|
898 |
+
"loss": 0.108,
|
899 |
+
"step": 6000
|
900 |
+
},
|
901 |
+
{
|
902 |
+
"epoch": 1.39,
|
903 |
+
"eval_accuracy": 0.998379647731781,
|
904 |
+
"eval_loss": 0.005587506573647261,
|
905 |
+
"eval_runtime": 2228.721,
|
906 |
+
"eval_samples_per_second": 15.507,
|
907 |
+
"eval_steps_per_second": 3.877,
|
908 |
+
"step": 6000
|
909 |
+
},
|
910 |
+
{
|
911 |
+
"epoch": 1.41,
|
912 |
+
"learning_rate": 7.175925925925926e-05,
|
913 |
+
"loss": 0.0134,
|
914 |
+
"step": 6100
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 1.41,
|
918 |
+
"eval_accuracy": 0.9985821843147278,
|
919 |
+
"eval_loss": 0.0066048940643668175,
|
920 |
+
"eval_runtime": 2000.8975,
|
921 |
+
"eval_samples_per_second": 17.272,
|
922 |
+
"eval_steps_per_second": 4.318,
|
923 |
+
"step": 6100
|
924 |
+
},
|
925 |
+
{
|
926 |
+
"epoch": 1.44,
|
927 |
+
"learning_rate": 7.12962962962963e-05,
|
928 |
+
"loss": 0.0389,
|
929 |
+
"step": 6200
|
930 |
+
},
|
931 |
+
{
|
932 |
+
"epoch": 1.44,
|
933 |
+
"eval_accuracy": 0.9972511529922485,
|
934 |
+
"eval_loss": 0.012162311002612114,
|
935 |
+
"eval_runtime": 1997.5848,
|
936 |
+
"eval_samples_per_second": 17.301,
|
937 |
+
"eval_steps_per_second": 4.325,
|
938 |
+
"step": 6200
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 1.46,
|
942 |
+
"learning_rate": 7.083333333333334e-05,
|
943 |
+
"loss": 0.0208,
|
944 |
+
"step": 6300
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 1.46,
|
948 |
+
"eval_accuracy": 0.9991030097007751,
|
949 |
+
"eval_loss": 0.0034532626159489155,
|
950 |
+
"eval_runtime": 2007.9035,
|
951 |
+
"eval_samples_per_second": 17.212,
|
952 |
+
"eval_steps_per_second": 4.303,
|
953 |
+
"step": 6300
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 1.48,
|
957 |
+
"learning_rate": 7.037037037037038e-05,
|
958 |
+
"loss": 0.0376,
|
959 |
+
"step": 6400
|
960 |
+
},
|
961 |
+
{
|
962 |
+
"epoch": 1.48,
|
963 |
+
"eval_accuracy": 0.9991897940635681,
|
964 |
+
"eval_loss": 0.004356299061328173,
|
965 |
+
"eval_runtime": 1996.8911,
|
966 |
+
"eval_samples_per_second": 17.307,
|
967 |
+
"eval_steps_per_second": 4.327,
|
968 |
+
"step": 6400
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 1.5,
|
972 |
+
"learning_rate": 6.99074074074074e-05,
|
973 |
+
"loss": 0.0346,
|
974 |
+
"step": 6500
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 1.5,
|
978 |
+
"eval_accuracy": 0.9969907402992249,
|
979 |
+
"eval_loss": 0.017812130972743034,
|
980 |
+
"eval_runtime": 2004.911,
|
981 |
+
"eval_samples_per_second": 17.238,
|
982 |
+
"eval_steps_per_second": 4.309,
|
983 |
+
"step": 6500
|
984 |
+
},
|
985 |
+
{
|
986 |
+
"epoch": 1.53,
|
987 |
+
"learning_rate": 6.944444444444444e-05,
|
988 |
+
"loss": 0.0189,
|
989 |
+
"step": 6600
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 1.53,
|
993 |
+
"eval_accuracy": 0.9987847208976746,
|
994 |
+
"eval_loss": 0.0057495711371302605,
|
995 |
+
"eval_runtime": 2011.102,
|
996 |
+
"eval_samples_per_second": 17.185,
|
997 |
+
"eval_steps_per_second": 4.296,
|
998 |
+
"step": 6600
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 1.55,
|
1002 |
+
"learning_rate": 6.898148148148148e-05,
|
1003 |
+
"loss": 0.0141,
|
1004 |
+
"step": 6700
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 1.55,
|
1008 |
+
"eval_accuracy": 0.9992766380310059,
|
1009 |
+
"eval_loss": 0.003152304096147418,
|
1010 |
+
"eval_runtime": 1989.9017,
|
1011 |
+
"eval_samples_per_second": 17.368,
|
1012 |
+
"eval_steps_per_second": 4.342,
|
1013 |
+
"step": 6700
|
1014 |
+
},
|
1015 |
+
{
|
1016 |
+
"epoch": 1.57,
|
1017 |
+
"learning_rate": 6.851851851851852e-05,
|
1018 |
+
"loss": 0.0719,
|
1019 |
+
"step": 6800
|
1020 |
+
},
|
1021 |
+
{
|
1022 |
+
"epoch": 1.57,
|
1023 |
+
"eval_accuracy": 0.9987847208976746,
|
1024 |
+
"eval_loss": 0.005420052912086248,
|
1025 |
+
"eval_runtime": 1969.8998,
|
1026 |
+
"eval_samples_per_second": 17.544,
|
1027 |
+
"eval_steps_per_second": 4.386,
|
1028 |
+
"step": 6800
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 1.6,
|
1032 |
+
"learning_rate": 6.805555555555556e-05,
|
1033 |
+
"loss": 0.0225,
|
1034 |
+
"step": 6900
|
1035 |
+
},
|
1036 |
+
{
|
1037 |
+
"epoch": 1.6,
|
1038 |
+
"eval_accuracy": 0.9971932768821716,
|
1039 |
+
"eval_loss": 0.012641699984669685,
|
1040 |
+
"eval_runtime": 1981.1809,
|
1041 |
+
"eval_samples_per_second": 17.444,
|
1042 |
+
"eval_steps_per_second": 4.361,
|
1043 |
+
"step": 6900
|
1044 |
+
},
|
1045 |
+
{
|
1046 |
+
"epoch": 1.62,
|
1047 |
+
"learning_rate": 6.759259259259259e-05,
|
1048 |
+
"loss": 0.0682,
|
1049 |
+
"step": 7000
|
1050 |
+
},
|
1051 |
+
{
|
1052 |
+
"epoch": 1.62,
|
1053 |
+
"eval_accuracy": 0.9989583492279053,
|
1054 |
+
"eval_loss": 0.003953148610889912,
|
1055 |
+
"eval_runtime": 1973.9678,
|
1056 |
+
"eval_samples_per_second": 17.508,
|
1057 |
+
"eval_steps_per_second": 4.377,
|
1058 |
+
"step": 7000
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 1.64,
|
1062 |
+
"learning_rate": 6.712962962962963e-05,
|
1063 |
+
"loss": 0.0521,
|
1064 |
+
"step": 7100
|
1065 |
+
},
|
1066 |
+
{
|
1067 |
+
"epoch": 1.64,
|
1068 |
+
"eval_accuracy": 0.998466432094574,
|
1069 |
+
"eval_loss": 0.005261498969048262,
|
1070 |
+
"eval_runtime": 1989.7692,
|
1071 |
+
"eval_samples_per_second": 17.369,
|
1072 |
+
"eval_steps_per_second": 4.342,
|
1073 |
+
"step": 7100
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 1.67,
|
1077 |
+
"learning_rate": 6.666666666666667e-05,
|
1078 |
+
"loss": 0.0358,
|
1079 |
+
"step": 7200
|
1080 |
+
},
|
1081 |
+
{
|
1082 |
+
"epoch": 1.67,
|
1083 |
+
"eval_accuracy": 0.9993634223937988,
|
1084 |
+
"eval_loss": 0.002406924497336149,
|
1085 |
+
"eval_runtime": 1975.9496,
|
1086 |
+
"eval_samples_per_second": 17.49,
|
1087 |
+
"eval_steps_per_second": 4.373,
|
1088 |
+
"step": 7200
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 1.69,
|
1092 |
+
"learning_rate": 6.620370370370371e-05,
|
1093 |
+
"loss": 0.0255,
|
1094 |
+
"step": 7300
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 1.69,
|
1098 |
+
"eval_accuracy": 0.9984953999519348,
|
1099 |
+
"eval_loss": 0.007655243389308453,
|
1100 |
+
"eval_runtime": 1972.1073,
|
1101 |
+
"eval_samples_per_second": 17.524,
|
1102 |
+
"eval_steps_per_second": 4.381,
|
1103 |
+
"step": 7300
|
1104 |
+
},
|
1105 |
+
{
|
1106 |
+
"epoch": 1.71,
|
1107 |
+
"learning_rate": 6.574074074074075e-05,
|
1108 |
+
"loss": 0.0424,
|
1109 |
+
"step": 7400
|
1110 |
+
},
|
1111 |
+
{
|
1112 |
+
"epoch": 1.71,
|
1113 |
+
"eval_accuracy": 0.9996238350868225,
|
1114 |
+
"eval_loss": 0.0017167649930343032,
|
1115 |
+
"eval_runtime": 1980.6249,
|
1116 |
+
"eval_samples_per_second": 17.449,
|
1117 |
+
"eval_steps_per_second": 4.362,
|
1118 |
+
"step": 7400
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 1.74,
|
1122 |
+
"learning_rate": 6.527777777777778e-05,
|
1123 |
+
"loss": 0.0214,
|
1124 |
+
"step": 7500
|
1125 |
+
},
|
1126 |
+
{
|
1127 |
+
"epoch": 1.74,
|
1128 |
+
"eval_accuracy": 0.9997106194496155,
|
1129 |
+
"eval_loss": 0.0009764753049239516,
|
1130 |
+
"eval_runtime": 2005.2649,
|
1131 |
+
"eval_samples_per_second": 17.235,
|
1132 |
+
"eval_steps_per_second": 4.309,
|
1133 |
+
"step": 7500
|
1134 |
+
},
|
1135 |
+
{
|
1136 |
+
"epoch": 1.76,
|
1137 |
+
"learning_rate": 6.481481481481482e-05,
|
1138 |
+
"loss": 0.0429,
|
1139 |
+
"step": 7600
|
1140 |
+
},
|
1141 |
+
{
|
1142 |
+
"epoch": 1.76,
|
1143 |
+
"eval_accuracy": 0.996006965637207,
|
1144 |
+
"eval_loss": 0.019011829048395157,
|
1145 |
+
"eval_runtime": 2045.2435,
|
1146 |
+
"eval_samples_per_second": 16.898,
|
1147 |
+
"eval_steps_per_second": 4.224,
|
1148 |
+
"step": 7600
|
1149 |
+
},
|
1150 |
+
{
|
1151 |
+
"epoch": 1.78,
|
1152 |
+
"learning_rate": 6.435185185185186e-05,
|
1153 |
+
"loss": 0.0783,
|
1154 |
+
"step": 7700
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"epoch": 1.78,
|
1158 |
+
"eval_accuracy": 0.9976562261581421,
|
1159 |
+
"eval_loss": 0.008234655484557152,
|
1160 |
+
"eval_runtime": 2041.1233,
|
1161 |
+
"eval_samples_per_second": 16.932,
|
1162 |
+
"eval_steps_per_second": 4.233,
|
1163 |
+
"step": 7700
|
1164 |
+
},
|
1165 |
+
{
|
1166 |
+
"epoch": 1.81,
|
1167 |
+
"learning_rate": 6.388888888888888e-05,
|
1168 |
+
"loss": 0.0141,
|
1169 |
+
"step": 7800
|
1170 |
+
},
|
1171 |
+
{
|
1172 |
+
"epoch": 1.81,
|
1173 |
+
"eval_accuracy": 0.9996238350868225,
|
1174 |
+
"eval_loss": 0.0018950661178678274,
|
1175 |
+
"eval_runtime": 1994.0408,
|
1176 |
+
"eval_samples_per_second": 17.332,
|
1177 |
+
"eval_steps_per_second": 4.333,
|
1178 |
+
"step": 7800
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 1.83,
|
1182 |
+
"learning_rate": 6.342592592592594e-05,
|
1183 |
+
"loss": 0.0203,
|
1184 |
+
"step": 7900
|
1185 |
+
},
|
1186 |
+
{
|
1187 |
+
"epoch": 1.83,
|
1188 |
+
"eval_accuracy": 0.9994502067565918,
|
1189 |
+
"eval_loss": 0.0022274223156273365,
|
1190 |
+
"eval_runtime": 1978.2563,
|
1191 |
+
"eval_samples_per_second": 17.47,
|
1192 |
+
"eval_steps_per_second": 4.367,
|
1193 |
+
"step": 7900
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"epoch": 1.85,
|
1197 |
+
"learning_rate": 6.296296296296296e-05,
|
1198 |
+
"loss": 0.0439,
|
1199 |
+
"step": 8000
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 1.85,
|
1203 |
+
"eval_accuracy": 0.9979166388511658,
|
1204 |
+
"eval_loss": 0.007150179240852594,
|
1205 |
+
"eval_runtime": 1990.4775,
|
1206 |
+
"eval_samples_per_second": 17.363,
|
1207 |
+
"eval_steps_per_second": 4.341,
|
1208 |
+
"step": 8000
|
1209 |
+
},
|
1210 |
+
{
|
1211 |
+
"epoch": 1.88,
|
1212 |
+
"learning_rate": 6.25e-05,
|
1213 |
+
"loss": 0.0228,
|
1214 |
+
"step": 8100
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 1.88,
|
1218 |
+
"eval_accuracy": 0.9973090291023254,
|
1219 |
+
"eval_loss": 0.010999325662851334,
|
1220 |
+
"eval_runtime": 1995.6933,
|
1221 |
+
"eval_samples_per_second": 17.317,
|
1222 |
+
"eval_steps_per_second": 4.329,
|
1223 |
+
"step": 8100
|
1224 |
+
},
|
1225 |
+
{
|
1226 |
+
"epoch": 1.9,
|
1227 |
+
"learning_rate": 6.203703703703704e-05,
|
1228 |
+
"loss": 0.0386,
|
1229 |
+
"step": 8200
|
1230 |
+
},
|
1231 |
+
{
|
1232 |
+
"epoch": 1.9,
|
1233 |
+
"eval_accuracy": 0.9996817111968994,
|
1234 |
+
"eval_loss": 0.001689778990112245,
|
1235 |
+
"eval_runtime": 1983.468,
|
1236 |
+
"eval_samples_per_second": 17.424,
|
1237 |
+
"eval_steps_per_second": 4.356,
|
1238 |
+
"step": 8200
|
1239 |
+
},
|
1240 |
+
{
|
1241 |
+
"epoch": 1.92,
|
1242 |
+
"learning_rate": 6.157407407407407e-05,
|
1243 |
+
"loss": 0.023,
|
1244 |
+
"step": 8300
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 1.92,
|
1248 |
+
"eval_accuracy": 0.9997106194496155,
|
1249 |
+
"eval_loss": 0.001407949603162706,
|
1250 |
+
"eval_runtime": 1979.2035,
|
1251 |
+
"eval_samples_per_second": 17.462,
|
1252 |
+
"eval_steps_per_second": 4.365,
|
1253 |
+
"step": 8300
|
1254 |
+
},
|
1255 |
+
{
|
1256 |
+
"epoch": 1.94,
|
1257 |
+
"learning_rate": 6.111111111111112e-05,
|
1258 |
+
"loss": 0.0188,
|
1259 |
+
"step": 8400
|
1260 |
+
},
|
1261 |
+
{
|
1262 |
+
"epoch": 1.94,
|
1263 |
+
"eval_accuracy": 0.9997395873069763,
|
1264 |
+
"eval_loss": 0.001248441985808313,
|
1265 |
+
"eval_runtime": 1986.8349,
|
1266 |
+
"eval_samples_per_second": 17.395,
|
1267 |
+
"eval_steps_per_second": 4.349,
|
1268 |
+
"step": 8400
|
1269 |
+
},
|
1270 |
+
{
|
1271 |
+
"epoch": 1.97,
|
1272 |
+
"learning_rate": 6.0648148148148154e-05,
|
1273 |
+
"loss": 0.0301,
|
1274 |
+
"step": 8500
|
1275 |
+
},
|
1276 |
+
{
|
1277 |
+
"epoch": 1.97,
|
1278 |
+
"eval_accuracy": 0.9998553395271301,
|
1279 |
+
"eval_loss": 0.0005934939254075289,
|
1280 |
+
"eval_runtime": 2006.6093,
|
1281 |
+
"eval_samples_per_second": 17.223,
|
1282 |
+
"eval_steps_per_second": 4.306,
|
1283 |
+
"step": 8500
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 1.99,
|
1287 |
+
"learning_rate": 6.018518518518519e-05,
|
1288 |
+
"loss": 0.0077,
|
1289 |
+
"step": 8600
|
1290 |
+
},
|
1291 |
+
{
|
1292 |
+
"epoch": 1.99,
|
1293 |
+
"eval_accuracy": 0.9999421238899231,
|
1294 |
+
"eval_loss": 0.00026703893672674894,
|
1295 |
+
"eval_runtime": 2048.5713,
|
1296 |
+
"eval_samples_per_second": 16.87,
|
1297 |
+
"eval_steps_per_second": 4.218,
|
1298 |
+
"step": 8600
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 2.01,
|
1302 |
+
"learning_rate": 5.972222222222223e-05,
|
1303 |
+
"loss": 0.0291,
|
1304 |
+
"step": 8700
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 2.01,
|
1308 |
+
"eval_accuracy": 0.9989872574806213,
|
1309 |
+
"eval_loss": 0.004098657984286547,
|
1310 |
+
"eval_runtime": 2031.7661,
|
1311 |
+
"eval_samples_per_second": 17.01,
|
1312 |
+
"eval_steps_per_second": 4.252,
|
1313 |
+
"step": 8700
|
1314 |
+
},
|
1315 |
+
{
|
1316 |
+
"epoch": 2.04,
|
1317 |
+
"learning_rate": 5.925925925925926e-05,
|
1318 |
+
"loss": 0.0274,
|
1319 |
+
"step": 8800
|
1320 |
+
},
|
1321 |
+
{
|
1322 |
+
"epoch": 2.04,
|
1323 |
+
"eval_accuracy": 0.9995949268341064,
|
1324 |
+
"eval_loss": 0.001983657479286194,
|
1325 |
+
"eval_runtime": 2040.4005,
|
1326 |
+
"eval_samples_per_second": 16.938,
|
1327 |
+
"eval_steps_per_second": 4.234,
|
1328 |
+
"step": 8800
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 2.06,
|
1332 |
+
"learning_rate": 5.879629629629629e-05,
|
1333 |
+
"loss": 0.0193,
|
1334 |
+
"step": 8900
|
1335 |
+
},
|
1336 |
+
{
|
1337 |
+
"epoch": 2.06,
|
1338 |
+
"eval_accuracy": 0.9998842477798462,
|
1339 |
+
"eval_loss": 0.0003717490180861205,
|
1340 |
+
"eval_runtime": 2041.1098,
|
1341 |
+
"eval_samples_per_second": 16.932,
|
1342 |
+
"eval_steps_per_second": 4.233,
|
1343 |
+
"step": 8900
|
1344 |
+
},
|
1345 |
+
{
|
1346 |
+
"epoch": 2.08,
|
1347 |
+
"learning_rate": 5.833333333333334e-05,
|
1348 |
+
"loss": 0.0296,
|
1349 |
+
"step": 9000
|
1350 |
+
},
|
1351 |
+
{
|
1352 |
+
"epoch": 2.08,
|
1353 |
+
"eval_accuracy": 0.9997684955596924,
|
1354 |
+
"eval_loss": 0.0011291600530967116,
|
1355 |
+
"eval_runtime": 2004.7261,
|
1356 |
+
"eval_samples_per_second": 17.239,
|
1357 |
+
"eval_steps_per_second": 4.31,
|
1358 |
+
"step": 9000
|
1359 |
+
},
|
1360 |
+
{
|
1361 |
+
"epoch": 2.11,
|
1362 |
+
"learning_rate": 5.787037037037037e-05,
|
1363 |
+
"loss": 0.0033,
|
1364 |
+
"step": 9100
|
1365 |
+
},
|
1366 |
+
{
|
1367 |
+
"epoch": 2.11,
|
1368 |
+
"eval_accuracy": 0.9998553395271301,
|
1369 |
+
"eval_loss": 0.0005978959961794317,
|
1370 |
+
"eval_runtime": 2001.4449,
|
1371 |
+
"eval_samples_per_second": 17.268,
|
1372 |
+
"eval_steps_per_second": 4.317,
|
1373 |
+
"step": 9100
|
1374 |
+
},
|
1375 |
+
{
|
1376 |
+
"epoch": 2.13,
|
1377 |
+
"learning_rate": 5.740740740740741e-05,
|
1378 |
+
"loss": 0.0218,
|
1379 |
+
"step": 9200
|
1380 |
+
},
|
1381 |
+
{
|
1382 |
+
"epoch": 2.13,
|
1383 |
+
"eval_accuracy": 0.999160885810852,
|
1384 |
+
"eval_loss": 0.0025338120758533478,
|
1385 |
+
"eval_runtime": 1990.5201,
|
1386 |
+
"eval_samples_per_second": 17.362,
|
1387 |
+
"eval_steps_per_second": 4.341,
|
1388 |
+
"step": 9200
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 2.15,
|
1392 |
+
"learning_rate": 5.6944444444444445e-05,
|
1393 |
+
"loss": 0.0238,
|
1394 |
+
"step": 9300
|
1395 |
+
},
|
1396 |
+
{
|
1397 |
+
"epoch": 2.15,
|
1398 |
+
"eval_accuracy": 0.999218761920929,
|
1399 |
+
"eval_loss": 0.0033705937676131725,
|
1400 |
+
"eval_runtime": 2019.0619,
|
1401 |
+
"eval_samples_per_second": 17.117,
|
1402 |
+
"eval_steps_per_second": 4.279,
|
1403 |
+
"step": 9300
|
1404 |
+
},
|
1405 |
+
{
|
1406 |
+
"epoch": 2.18,
|
1407 |
+
"learning_rate": 5.648148148148148e-05,
|
1408 |
+
"loss": 0.0319,
|
1409 |
+
"step": 9400
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 2.18,
|
1413 |
+
"eval_accuracy": 0.9994791746139526,
|
1414 |
+
"eval_loss": 0.0017771282000467181,
|
1415 |
+
"eval_runtime": 1997.4844,
|
1416 |
+
"eval_samples_per_second": 17.302,
|
1417 |
+
"eval_steps_per_second": 4.325,
|
1418 |
+
"step": 9400
|
1419 |
+
},
|
1420 |
+
{
|
1421 |
+
"epoch": 2.2,
|
1422 |
+
"learning_rate": 5.6018518518518525e-05,
|
1423 |
+
"loss": 0.0465,
|
1424 |
+
"step": 9500
|
1425 |
+
},
|
1426 |
+
{
|
1427 |
+
"epoch": 2.2,
|
1428 |
+
"eval_accuracy": 0.9994502067565918,
|
1429 |
+
"eval_loss": 0.002331700176000595,
|
1430 |
+
"eval_runtime": 2012.3132,
|
1431 |
+
"eval_samples_per_second": 17.174,
|
1432 |
+
"eval_steps_per_second": 4.294,
|
1433 |
+
"step": 9500
|
1434 |
+
},
|
1435 |
+
{
|
1436 |
+
"epoch": 2.22,
|
1437 |
+
"learning_rate": 5.555555555555556e-05,
|
1438 |
+
"loss": 0.0412,
|
1439 |
+
"step": 9600
|
1440 |
+
},
|
1441 |
+
{
|
1442 |
+
"epoch": 2.22,
|
1443 |
+
"eval_accuracy": 0.9997395873069763,
|
1444 |
+
"eval_loss": 0.001237583113834262,
|
1445 |
+
"eval_runtime": 1999.8191,
|
1446 |
+
"eval_samples_per_second": 17.282,
|
1447 |
+
"eval_steps_per_second": 4.32,
|
1448 |
+
"step": 9600
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 2.25,
|
1452 |
+
"learning_rate": 5.50925925925926e-05,
|
1453 |
+
"loss": 0.02,
|
1454 |
+
"step": 9700
|
1455 |
+
},
|
1456 |
+
{
|
1457 |
+
"epoch": 2.25,
|
1458 |
+
"eval_accuracy": 0.9998842477798462,
|
1459 |
+
"eval_loss": 0.0009390079067088664,
|
1460 |
+
"eval_runtime": 2008.6286,
|
1461 |
+
"eval_samples_per_second": 17.206,
|
1462 |
+
"eval_steps_per_second": 4.301,
|
1463 |
+
"step": 9700
|
1464 |
+
},
|
1465 |
+
{
|
1466 |
+
"epoch": 2.27,
|
1467 |
+
"learning_rate": 5.462962962962963e-05,
|
1468 |
+
"loss": 0.0226,
|
1469 |
+
"step": 9800
|
1470 |
+
},
|
1471 |
+
{
|
1472 |
+
"epoch": 2.27,
|
1473 |
+
"eval_accuracy": 0.9995949268341064,
|
1474 |
+
"eval_loss": 0.0017483533592894673,
|
1475 |
+
"eval_runtime": 2005.0151,
|
1476 |
+
"eval_samples_per_second": 17.237,
|
1477 |
+
"eval_steps_per_second": 4.309,
|
1478 |
+
"step": 9800
|
1479 |
+
},
|
1480 |
+
{
|
1481 |
+
"epoch": 2.29,
|
1482 |
+
"learning_rate": 5.4166666666666664e-05,
|
1483 |
+
"loss": 0.0104,
|
1484 |
+
"step": 9900
|
1485 |
+
},
|
1486 |
+
{
|
1487 |
+
"epoch": 2.29,
|
1488 |
+
"eval_accuracy": 0.9997684955596924,
|
1489 |
+
"eval_loss": 0.0008292018319480121,
|
1490 |
+
"eval_runtime": 1992.6545,
|
1491 |
+
"eval_samples_per_second": 17.344,
|
1492 |
+
"eval_steps_per_second": 4.336,
|
1493 |
+
"step": 9900
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 2.31,
|
1497 |
+
"learning_rate": 5.370370370370371e-05,
|
1498 |
+
"loss": 0.0021,
|
1499 |
+
"step": 10000
|
1500 |
+
},
|
1501 |
+
{
|
1502 |
+
"epoch": 2.31,
|
1503 |
+
"eval_accuracy": 0.999913215637207,
|
1504 |
+
"eval_loss": 0.000292919430648908,
|
1505 |
+
"eval_runtime": 1987.2006,
|
1506 |
+
"eval_samples_per_second": 17.391,
|
1507 |
+
"eval_steps_per_second": 4.348,
|
1508 |
+
"step": 10000
|
1509 |
+
},
|
1510 |
+
{
|
1511 |
+
"epoch": 2.34,
|
1512 |
+
"learning_rate": 5.3240740740740744e-05,
|
1513 |
+
"loss": 0.0135,
|
1514 |
+
"step": 10100
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 2.34,
|
1518 |
+
"eval_accuracy": 0.9987558126449585,
|
1519 |
+
"eval_loss": 0.005596287082880735,
|
1520 |
+
"eval_runtime": 2007.3126,
|
1521 |
+
"eval_samples_per_second": 17.217,
|
1522 |
+
"eval_steps_per_second": 4.304,
|
1523 |
+
"step": 10100
|
1524 |
+
},
|
1525 |
+
{
|
1526 |
+
"epoch": 2.36,
|
1527 |
+
"learning_rate": 5.2777777777777784e-05,
|
1528 |
+
"loss": 0.0319,
|
1529 |
+
"step": 10200
|
1530 |
+
},
|
1531 |
+
{
|
1532 |
+
"epoch": 2.36,
|
1533 |
+
"eval_accuracy": 0.9995949268341064,
|
1534 |
+
"eval_loss": 0.001722234534099698,
|
1535 |
+
"eval_runtime": 2007.5056,
|
1536 |
+
"eval_samples_per_second": 17.215,
|
1537 |
+
"eval_steps_per_second": 4.304,
|
1538 |
+
"step": 10200
|
1539 |
+
},
|
1540 |
+
{
|
1541 |
+
"epoch": 2.38,
|
1542 |
+
"learning_rate": 5.231481481481482e-05,
|
1543 |
+
"loss": 0.0279,
|
1544 |
+
"step": 10300
|
1545 |
+
},
|
1546 |
+
{
|
1547 |
+
"epoch": 2.38,
|
1548 |
+
"eval_accuracy": 0.9997106194496155,
|
1549 |
+
"eval_loss": 0.001128367381170392,
|
1550 |
+
"eval_runtime": 1980.2057,
|
1551 |
+
"eval_samples_per_second": 17.453,
|
1552 |
+
"eval_steps_per_second": 4.363,
|
1553 |
+
"step": 10300
|
1554 |
+
},
|
1555 |
+
{
|
1556 |
+
"epoch": 2.41,
|
1557 |
+
"learning_rate": 5.185185185185185e-05,
|
1558 |
+
"loss": 0.0017,
|
1559 |
+
"step": 10400
|
1560 |
+
},
|
1561 |
+
{
|
1562 |
+
"epoch": 2.41,
|
1563 |
+
"eval_accuracy": 0.9997106194496155,
|
1564 |
+
"eval_loss": 0.0013848639791831374,
|
1565 |
+
"eval_runtime": 2007.1812,
|
1566 |
+
"eval_samples_per_second": 17.218,
|
1567 |
+
"eval_steps_per_second": 4.305,
|
1568 |
+
"step": 10400
|
1569 |
+
},
|
1570 |
+
{
|
1571 |
+
"epoch": 2.43,
|
1572 |
+
"learning_rate": 5.138888888888889e-05,
|
1573 |
+
"loss": 0.0296,
|
1574 |
+
"step": 10500
|
1575 |
+
},
|
1576 |
+
{
|
1577 |
+
"epoch": 2.43,
|
1578 |
+
"eval_accuracy": 0.9989583492279053,
|
1579 |
+
"eval_loss": 0.005161995068192482,
|
1580 |
+
"eval_runtime": 1986.761,
|
1581 |
+
"eval_samples_per_second": 17.395,
|
1582 |
+
"eval_steps_per_second": 4.349,
|
1583 |
+
"step": 10500
|
1584 |
+
},
|
1585 |
+
{
|
1586 |
+
"epoch": 2.45,
|
1587 |
+
"learning_rate": 5.092592592592593e-05,
|
1588 |
+
"loss": 0.0168,
|
1589 |
+
"step": 10600
|
1590 |
+
},
|
1591 |
+
{
|
1592 |
+
"epoch": 2.45,
|
1593 |
+
"eval_accuracy": 0.9997974634170532,
|
1594 |
+
"eval_loss": 0.0004770481900777668,
|
1595 |
+
"eval_runtime": 2003.7003,
|
1596 |
+
"eval_samples_per_second": 17.248,
|
1597 |
+
"eval_steps_per_second": 4.312,
|
1598 |
+
"step": 10600
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 2.48,
|
1602 |
+
"learning_rate": 5.046296296296297e-05,
|
1603 |
+
"loss": 0.0194,
|
1604 |
+
"step": 10700
|
1605 |
+
},
|
1606 |
+
{
|
1607 |
+
"epoch": 2.48,
|
1608 |
+
"eval_accuracy": 0.9997684955596924,
|
1609 |
+
"eval_loss": 0.000735765672288835,
|
1610 |
+
"eval_runtime": 1994.758,
|
1611 |
+
"eval_samples_per_second": 17.325,
|
1612 |
+
"eval_steps_per_second": 4.331,
|
1613 |
+
"step": 10700
|
1614 |
+
},
|
1615 |
+
{
|
1616 |
+
"epoch": 2.5,
|
1617 |
+
"learning_rate": 5e-05,
|
1618 |
+
"loss": 0.0006,
|
1619 |
+
"step": 10800
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 2.5,
|
1623 |
+
"eval_accuracy": 0.9998263716697693,
|
1624 |
+
"eval_loss": 0.0009093827102333307,
|
1625 |
+
"eval_runtime": 2000.8621,
|
1626 |
+
"eval_samples_per_second": 17.273,
|
1627 |
+
"eval_steps_per_second": 4.318,
|
1628 |
+
"step": 10800
|
1629 |
+
},
|
1630 |
+
{
|
1631 |
+
"epoch": 2.52,
|
1632 |
+
"learning_rate": 4.9537037037037035e-05,
|
1633 |
+
"loss": 0.0293,
|
1634 |
+
"step": 10900
|
1635 |
+
},
|
1636 |
+
{
|
1637 |
+
"epoch": 2.52,
|
1638 |
+
"eval_accuracy": 0.999913215637207,
|
1639 |
+
"eval_loss": 0.0005157970590516925,
|
1640 |
+
"eval_runtime": 2011.0169,
|
1641 |
+
"eval_samples_per_second": 17.185,
|
1642 |
+
"eval_steps_per_second": 4.296,
|
1643 |
+
"step": 10900
|
1644 |
+
},
|
1645 |
+
{
|
1646 |
+
"epoch": 2.55,
|
1647 |
+
"learning_rate": 4.9074074074074075e-05,
|
1648 |
+
"loss": 0.0016,
|
1649 |
+
"step": 11000
|
1650 |
+
},
|
1651 |
+
{
|
1652 |
+
"epoch": 2.55,
|
1653 |
+
"eval_accuracy": 0.9994791746139526,
|
1654 |
+
"eval_loss": 0.0025301428977400064,
|
1655 |
+
"eval_runtime": 2000.9133,
|
1656 |
+
"eval_samples_per_second": 17.272,
|
1657 |
+
"eval_steps_per_second": 4.318,
|
1658 |
+
"step": 11000
|
1659 |
+
},
|
1660 |
+
{
|
1661 |
+
"epoch": 2.57,
|
1662 |
+
"learning_rate": 4.8611111111111115e-05,
|
1663 |
+
"loss": 0.0069,
|
1664 |
+
"step": 11100
|
1665 |
+
},
|
1666 |
+
{
|
1667 |
+
"epoch": 2.57,
|
1668 |
+
"eval_accuracy": 0.9998842477798462,
|
1669 |
+
"eval_loss": 0.0004891157150268555,
|
1670 |
+
"eval_runtime": 2006.7369,
|
1671 |
+
"eval_samples_per_second": 17.222,
|
1672 |
+
"eval_steps_per_second": 4.305,
|
1673 |
+
"step": 11100
|
1674 |
+
},
|
1675 |
+
{
|
1676 |
+
"epoch": 2.59,
|
1677 |
+
"learning_rate": 4.814814814814815e-05,
|
1678 |
+
"loss": 0.0001,
|
1679 |
+
"step": 11200
|
1680 |
+
},
|
1681 |
+
{
|
1682 |
+
"epoch": 2.59,
|
1683 |
+
"eval_accuracy": 0.9999421238899231,
|
1684 |
+
"eval_loss": 0.00020419809152372181,
|
1685 |
+
"eval_runtime": 1993.3725,
|
1686 |
+
"eval_samples_per_second": 17.337,
|
1687 |
+
"eval_steps_per_second": 4.334,
|
1688 |
+
"step": 11200
|
1689 |
+
},
|
1690 |
+
{
|
1691 |
+
"epoch": 2.62,
|
1692 |
+
"learning_rate": 4.768518518518519e-05,
|
1693 |
+
"loss": 0.0108,
|
1694 |
+
"step": 11300
|
1695 |
+
},
|
1696 |
+
{
|
1697 |
+
"epoch": 2.62,
|
1698 |
+
"eval_accuracy": 0.9997974634170532,
|
1699 |
+
"eval_loss": 0.0010758559219539165,
|
1700 |
+
"eval_runtime": 2001.2763,
|
1701 |
+
"eval_samples_per_second": 17.269,
|
1702 |
+
"eval_steps_per_second": 4.317,
|
1703 |
+
"step": 11300
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 2.64,
|
1707 |
+
"learning_rate": 4.722222222222222e-05,
|
1708 |
+
"loss": 0.0165,
|
1709 |
+
"step": 11400
|
1710 |
+
},
|
1711 |
+
{
|
1712 |
+
"epoch": 2.64,
|
1713 |
+
"eval_accuracy": 0.9998842477798462,
|
1714 |
+
"eval_loss": 0.0006313551566563547,
|
1715 |
+
"eval_runtime": 1995.5247,
|
1716 |
+
"eval_samples_per_second": 17.319,
|
1717 |
+
"eval_steps_per_second": 4.33,
|
1718 |
+
"step": 11400
|
1719 |
+
},
|
1720 |
+
{
|
1721 |
+
"epoch": 2.66,
|
1722 |
+
"learning_rate": 4.675925925925926e-05,
|
1723 |
+
"loss": 0.0001,
|
1724 |
+
"step": 11500
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 2.66,
|
1728 |
+
"eval_accuracy": 0.9997974634170532,
|
1729 |
+
"eval_loss": 0.0007648964528925717,
|
1730 |
+
"eval_runtime": 2001.09,
|
1731 |
+
"eval_samples_per_second": 17.271,
|
1732 |
+
"eval_steps_per_second": 4.318,
|
1733 |
+
"step": 11500
|
1734 |
+
},
|
1735 |
+
{
|
1736 |
+
"epoch": 2.69,
|
1737 |
+
"learning_rate": 4.62962962962963e-05,
|
1738 |
+
"loss": 0.0244,
|
1739 |
+
"step": 11600
|
1740 |
+
},
|
1741 |
+
{
|
1742 |
+
"epoch": 2.69,
|
1743 |
+
"eval_accuracy": 0.9998553395271301,
|
1744 |
+
"eval_loss": 0.000668107473757118,
|
1745 |
+
"eval_runtime": 2000.7577,
|
1746 |
+
"eval_samples_per_second": 17.273,
|
1747 |
+
"eval_steps_per_second": 4.318,
|
1748 |
+
"step": 11600
|
1749 |
+
},
|
1750 |
+
{
|
1751 |
+
"epoch": 2.71,
|
1752 |
+
"learning_rate": 4.5833333333333334e-05,
|
1753 |
+
"loss": 0.0312,
|
1754 |
+
"step": 11700
|
1755 |
+
},
|
1756 |
+
{
|
1757 |
+
"epoch": 2.71,
|
1758 |
+
"eval_accuracy": 0.9995659589767456,
|
1759 |
+
"eval_loss": 0.001716578146442771,
|
1760 |
+
"eval_runtime": 1997.1256,
|
1761 |
+
"eval_samples_per_second": 17.305,
|
1762 |
+
"eval_steps_per_second": 4.326,
|
1763 |
+
"step": 11700
|
1764 |
+
},
|
1765 |
+
{
|
1766 |
+
"epoch": 2.73,
|
1767 |
+
"learning_rate": 4.5370370370370374e-05,
|
1768 |
+
"loss": 0.0191,
|
1769 |
+
"step": 11800
|
1770 |
+
},
|
1771 |
+
{
|
1772 |
+
"epoch": 2.73,
|
1773 |
+
"eval_accuracy": 0.9997395873069763,
|
1774 |
+
"eval_loss": 0.0007975550834089518,
|
1775 |
+
"eval_runtime": 1967.8746,
|
1776 |
+
"eval_samples_per_second": 17.562,
|
1777 |
+
"eval_steps_per_second": 4.391,
|
1778 |
+
"step": 11800
|
1779 |
+
},
|
1780 |
+
{
|
1781 |
+
"epoch": 2.75,
|
1782 |
+
"learning_rate": 4.490740740740741e-05,
|
1783 |
+
"loss": 0.0005,
|
1784 |
+
"step": 11900
|
1785 |
+
},
|
1786 |
+
{
|
1787 |
+
"epoch": 2.75,
|
1788 |
+
"eval_accuracy": 0.9998842477798462,
|
1789 |
+
"eval_loss": 0.0004628011374734342,
|
1790 |
+
"eval_runtime": 1958.7798,
|
1791 |
+
"eval_samples_per_second": 17.644,
|
1792 |
+
"eval_steps_per_second": 4.411,
|
1793 |
+
"step": 11900
|
1794 |
+
},
|
1795 |
+
{
|
1796 |
+
"epoch": 2.78,
|
1797 |
+
"learning_rate": 4.4444444444444447e-05,
|
1798 |
+
"loss": 0.0259,
|
1799 |
+
"step": 12000
|
1800 |
+
},
|
1801 |
+
{
|
1802 |
+
"epoch": 2.78,
|
1803 |
+
"eval_accuracy": 0.9996238350868225,
|
1804 |
+
"eval_loss": 0.001358355744741857,
|
1805 |
+
"eval_runtime": 1971.0225,
|
1806 |
+
"eval_samples_per_second": 17.534,
|
1807 |
+
"eval_steps_per_second": 4.384,
|
1808 |
+
"step": 12000
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 2.8,
|
1812 |
+
"learning_rate": 4.3981481481481486e-05,
|
1813 |
+
"loss": 0.0226,
|
1814 |
+
"step": 12100
|
1815 |
+
},
|
1816 |
+
{
|
1817 |
+
"epoch": 2.8,
|
1818 |
+
"eval_accuracy": 0.9999710917472839,
|
1819 |
+
"eval_loss": 0.00019500043708831072,
|
1820 |
+
"eval_runtime": 1970.5019,
|
1821 |
+
"eval_samples_per_second": 17.539,
|
1822 |
+
"eval_steps_per_second": 4.385,
|
1823 |
+
"step": 12100
|
1824 |
+
},
|
1825 |
+
{
|
1826 |
+
"epoch": 2.82,
|
1827 |
+
"learning_rate": 4.351851851851852e-05,
|
1828 |
+
"loss": 0.0,
|
1829 |
+
"step": 12200
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 2.82,
|
1833 |
+
"eval_accuracy": 0.9999710917472839,
|
1834 |
+
"eval_loss": 0.0002164940524380654,
|
1835 |
+
"eval_runtime": 1961.9305,
|
1836 |
+
"eval_samples_per_second": 17.615,
|
1837 |
+
"eval_steps_per_second": 4.404,
|
1838 |
+
"step": 12200
|
1839 |
+
},
|
1840 |
+
{
|
1841 |
+
"epoch": 2.85,
|
1842 |
+
"learning_rate": 4.305555555555556e-05,
|
1843 |
+
"loss": 0.0,
|
1844 |
+
"step": 12300
|
1845 |
+
},
|
1846 |
+
{
|
1847 |
+
"epoch": 2.85,
|
1848 |
+
"eval_accuracy": 0.9999421238899231,
|
1849 |
+
"eval_loss": 0.00010657820530468598,
|
1850 |
+
"eval_runtime": 1973.4403,
|
1851 |
+
"eval_samples_per_second": 17.513,
|
1852 |
+
"eval_steps_per_second": 4.378,
|
1853 |
+
"step": 12300
|
1854 |
+
},
|
1855 |
+
{
|
1856 |
+
"epoch": 2.87,
|
1857 |
+
"learning_rate": 4.259259259259259e-05,
|
1858 |
+
"loss": 0.0145,
|
1859 |
+
"step": 12400
|
1860 |
+
},
|
1861 |
+
{
|
1862 |
+
"epoch": 2.87,
|
1863 |
+
"eval_accuracy": 1.0,
|
1864 |
+
"eval_loss": 4.758801151183434e-05,
|
1865 |
+
"eval_runtime": 1977.328,
|
1866 |
+
"eval_samples_per_second": 17.478,
|
1867 |
+
"eval_steps_per_second": 4.37,
|
1868 |
+
"step": 12400
|
1869 |
+
},
|
1870 |
+
{
|
1871 |
+
"epoch": 2.89,
|
1872 |
+
"learning_rate": 4.212962962962963e-05,
|
1873 |
+
"loss": 0.0083,
|
1874 |
+
"step": 12500
|
1875 |
+
},
|
1876 |
+
{
|
1877 |
+
"epoch": 2.89,
|
1878 |
+
"eval_accuracy": 0.9995659589767456,
|
1879 |
+
"eval_loss": 0.001972577767446637,
|
1880 |
+
"eval_runtime": 1962.5085,
|
1881 |
+
"eval_samples_per_second": 17.61,
|
1882 |
+
"eval_steps_per_second": 4.403,
|
1883 |
+
"step": 12500
|
1884 |
+
},
|
1885 |
+
{
|
1886 |
+
"epoch": 2.92,
|
1887 |
+
"learning_rate": 4.166666666666667e-05,
|
1888 |
+
"loss": 0.02,
|
1889 |
+
"step": 12600
|
1890 |
+
},
|
1891 |
+
{
|
1892 |
+
"epoch": 2.92,
|
1893 |
+
"eval_accuracy": 0.9994791746139526,
|
1894 |
+
"eval_loss": 0.00198388216085732,
|
1895 |
+
"eval_runtime": 1956.5161,
|
1896 |
+
"eval_samples_per_second": 17.664,
|
1897 |
+
"eval_steps_per_second": 4.416,
|
1898 |
+
"step": 12600
|
1899 |
+
},
|
1900 |
+
{
|
1901 |
+
"epoch": 2.94,
|
1902 |
+
"learning_rate": 4.1203703703703705e-05,
|
1903 |
+
"loss": 0.0293,
|
1904 |
+
"step": 12700
|
1905 |
+
},
|
1906 |
+
{
|
1907 |
+
"epoch": 2.94,
|
1908 |
+
"eval_accuracy": 0.9994212985038757,
|
1909 |
+
"eval_loss": 0.0031591171864420176,
|
1910 |
+
"eval_runtime": 1997.7409,
|
1911 |
+
"eval_samples_per_second": 17.3,
|
1912 |
+
"eval_steps_per_second": 4.325,
|
1913 |
+
"step": 12700
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 2.96,
|
1917 |
+
"learning_rate": 4.074074074074074e-05,
|
1918 |
+
"loss": 0.0164,
|
1919 |
+
"step": 12800
|
1920 |
+
},
|
1921 |
+
{
|
1922 |
+
"epoch": 2.96,
|
1923 |
+
"eval_accuracy": 0.9997395873069763,
|
1924 |
+
"eval_loss": 0.0012433998053893447,
|
1925 |
+
"eval_runtime": 2019.1263,
|
1926 |
+
"eval_samples_per_second": 17.116,
|
1927 |
+
"eval_steps_per_second": 4.279,
|
1928 |
+
"step": 12800
|
1929 |
+
},
|
1930 |
+
{
|
1931 |
+
"epoch": 2.99,
|
1932 |
+
"learning_rate": 4.027777777777778e-05,
|
1933 |
+
"loss": 0.0147,
|
1934 |
+
"step": 12900
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 2.99,
|
1938 |
+
"eval_accuracy": 0.9997684955596924,
|
1939 |
+
"eval_loss": 0.001224155188538134,
|
1940 |
+
"eval_runtime": 2015.6572,
|
1941 |
+
"eval_samples_per_second": 17.146,
|
1942 |
+
"eval_steps_per_second": 4.286,
|
1943 |
+
"step": 12900
|
1944 |
+
},
|
1945 |
+
{
|
1946 |
+
"epoch": 3.01,
|
1947 |
+
"learning_rate": 3.981481481481482e-05,
|
1948 |
+
"loss": 0.0112,
|
1949 |
+
"step": 13000
|
1950 |
+
},
|
1951 |
+
{
|
1952 |
+
"epoch": 3.01,
|
1953 |
+
"eval_accuracy": 0.999913215637207,
|
1954 |
+
"eval_loss": 0.0008148940978571773,
|
1955 |
+
"eval_runtime": 1991.7022,
|
1956 |
+
"eval_samples_per_second": 17.352,
|
1957 |
+
"eval_steps_per_second": 4.338,
|
1958 |
+
"step": 13000
|
1959 |
+
},
|
1960 |
+
{
|
1961 |
+
"epoch": 3.03,
|
1962 |
+
"learning_rate": 3.935185185185186e-05,
|
1963 |
+
"loss": 0.002,
|
1964 |
+
"step": 13100
|
1965 |
+
},
|
1966 |
+
{
|
1967 |
+
"epoch": 3.03,
|
1968 |
+
"eval_accuracy": 0.9997395873069763,
|
1969 |
+
"eval_loss": 0.0012871942017227411,
|
1970 |
+
"eval_runtime": 2016.2834,
|
1971 |
+
"eval_samples_per_second": 17.14,
|
1972 |
+
"eval_steps_per_second": 4.285,
|
1973 |
+
"step": 13100
|
1974 |
+
},
|
1975 |
+
{
|
1976 |
+
"epoch": 3.06,
|
1977 |
+
"learning_rate": 3.888888888888889e-05,
|
1978 |
+
"loss": 0.017,
|
1979 |
+
"step": 13200
|
1980 |
+
},
|
1981 |
+
{
|
1982 |
+
"epoch": 3.06,
|
1983 |
+
"eval_accuracy": 0.9997106194496155,
|
1984 |
+
"eval_loss": 0.0010973262833431363,
|
1985 |
+
"eval_runtime": 2017.4262,
|
1986 |
+
"eval_samples_per_second": 17.131,
|
1987 |
+
"eval_steps_per_second": 4.283,
|
1988 |
+
"step": 13200
|
1989 |
+
},
|
1990 |
+
{
|
1991 |
+
"epoch": 3.08,
|
1992 |
+
"learning_rate": 3.8425925925925924e-05,
|
1993 |
+
"loss": 0.0142,
|
1994 |
+
"step": 13300
|
1995 |
+
},
|
1996 |
+
{
|
1997 |
+
"epoch": 3.08,
|
1998 |
+
"eval_accuracy": 0.9996528029441833,
|
1999 |
+
"eval_loss": 0.0019141812808811665,
|
2000 |
+
"eval_runtime": 2002.6757,
|
2001 |
+
"eval_samples_per_second": 17.257,
|
2002 |
+
"eval_steps_per_second": 4.314,
|
2003 |
+
"step": 13300
|
2004 |
+
},
|
2005 |
+
{
|
2006 |
+
"epoch": 3.1,
|
2007 |
+
"learning_rate": 3.7962962962962964e-05,
|
2008 |
+
"loss": 0.008,
|
2009 |
+
"step": 13400
|
2010 |
+
},
|
2011 |
+
{
|
2012 |
+
"epoch": 3.1,
|
2013 |
+
"eval_accuracy": 0.9997395873069763,
|
2014 |
+
"eval_loss": 0.00135290517937392,
|
2015 |
+
"eval_runtime": 2020.5372,
|
2016 |
+
"eval_samples_per_second": 17.104,
|
2017 |
+
"eval_steps_per_second": 4.276,
|
2018 |
+
"step": 13400
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 3.12,
|
2022 |
+
"learning_rate": 3.7500000000000003e-05,
|
2023 |
+
"loss": 0.0411,
|
2024 |
+
"step": 13500
|
2025 |
+
},
|
2026 |
+
{
|
2027 |
+
"epoch": 3.12,
|
2028 |
+
"eval_accuracy": 0.9997974634170532,
|
2029 |
+
"eval_loss": 0.000736766669433564,
|
2030 |
+
"eval_runtime": 2162.1556,
|
2031 |
+
"eval_samples_per_second": 15.984,
|
2032 |
+
"eval_steps_per_second": 3.996,
|
2033 |
+
"step": 13500
|
2034 |
+
},
|
2035 |
+
{
|
2036 |
+
"epoch": 3.15,
|
2037 |
+
"learning_rate": 3.7037037037037037e-05,
|
2038 |
+
"loss": 0.0262,
|
2039 |
+
"step": 13600
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 3.15,
|
2043 |
+
"eval_accuracy": 0.9998553395271301,
|
2044 |
+
"eval_loss": 0.000846204929985106,
|
2045 |
+
"eval_runtime": 2119.0303,
|
2046 |
+
"eval_samples_per_second": 16.309,
|
2047 |
+
"eval_steps_per_second": 4.077,
|
2048 |
+
"step": 13600
|
2049 |
+
},
|
2050 |
+
{
|
2051 |
+
"epoch": 3.17,
|
2052 |
+
"learning_rate": 3.6574074074074076e-05,
|
2053 |
+
"loss": 0.0198,
|
2054 |
+
"step": 13700
|
2055 |
+
},
|
2056 |
+
{
|
2057 |
+
"epoch": 3.17,
|
2058 |
+
"eval_accuracy": 0.9997106194496155,
|
2059 |
+
"eval_loss": 0.0010991438757628202,
|
2060 |
+
"eval_runtime": 2095.0628,
|
2061 |
+
"eval_samples_per_second": 16.496,
|
2062 |
+
"eval_steps_per_second": 4.124,
|
2063 |
+
"step": 13700
|
2064 |
+
},
|
2065 |
+
{
|
2066 |
+
"epoch": 3.19,
|
2067 |
+
"learning_rate": 3.611111111111111e-05,
|
2068 |
+
"loss": 0.0178,
|
2069 |
+
"step": 13800
|
2070 |
+
},
|
2071 |
+
{
|
2072 |
+
"epoch": 3.19,
|
2073 |
+
"eval_accuracy": 0.999913215637207,
|
2074 |
+
"eval_loss": 0.00029710811213590205,
|
2075 |
+
"eval_runtime": 2130.6792,
|
2076 |
+
"eval_samples_per_second": 16.22,
|
2077 |
+
"eval_steps_per_second": 4.055,
|
2078 |
+
"step": 13800
|
2079 |
+
},
|
2080 |
+
{
|
2081 |
+
"epoch": 3.22,
|
2082 |
+
"learning_rate": 3.564814814814815e-05,
|
2083 |
+
"loss": 0.0072,
|
2084 |
+
"step": 13900
|
2085 |
+
},
|
2086 |
+
{
|
2087 |
+
"epoch": 3.22,
|
2088 |
+
"eval_accuracy": 0.9999710917472839,
|
2089 |
+
"eval_loss": 0.00018699387146625668,
|
2090 |
+
"eval_runtime": 2082.0917,
|
2091 |
+
"eval_samples_per_second": 16.599,
|
2092 |
+
"eval_steps_per_second": 4.15,
|
2093 |
+
"step": 13900
|
2094 |
+
},
|
2095 |
+
{
|
2096 |
+
"epoch": 3.24,
|
2097 |
+
"learning_rate": 3.518518518518519e-05,
|
2098 |
+
"loss": 0.0004,
|
2099 |
+
"step": 14000
|
2100 |
+
},
|
2101 |
+
{
|
2102 |
+
"epoch": 3.24,
|
2103 |
+
"eval_accuracy": 0.9998263716697693,
|
2104 |
+
"eval_loss": 0.0013777822023257613,
|
2105 |
+
"eval_runtime": 2053.664,
|
2106 |
+
"eval_samples_per_second": 16.828,
|
2107 |
+
"eval_steps_per_second": 4.207,
|
2108 |
+
"step": 14000
|
2109 |
+
},
|
2110 |
+
{
|
2111 |
+
"epoch": 3.26,
|
2112 |
+
"learning_rate": 3.472222222222222e-05,
|
2113 |
+
"loss": 0.0191,
|
2114 |
+
"step": 14100
|
2115 |
+
},
|
2116 |
+
{
|
2117 |
+
"epoch": 3.26,
|
2118 |
+
"eval_accuracy": 0.9999421238899231,
|
2119 |
+
"eval_loss": 0.0004184871504548937,
|
2120 |
+
"eval_runtime": 2048.7946,
|
2121 |
+
"eval_samples_per_second": 16.868,
|
2122 |
+
"eval_steps_per_second": 4.217,
|
2123 |
+
"step": 14100
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 3.29,
|
2127 |
+
"learning_rate": 3.425925925925926e-05,
|
2128 |
+
"loss": 0.007,
|
2129 |
+
"step": 14200
|
2130 |
+
},
|
2131 |
+
{
|
2132 |
+
"epoch": 3.29,
|
2133 |
+
"eval_accuracy": 0.999913215637207,
|
2134 |
+
"eval_loss": 0.0004062869702465832,
|
2135 |
+
"eval_runtime": 2055.664,
|
2136 |
+
"eval_samples_per_second": 16.812,
|
2137 |
+
"eval_steps_per_second": 4.203,
|
2138 |
+
"step": 14200
|
2139 |
+
},
|
2140 |
+
{
|
2141 |
+
"epoch": 3.31,
|
2142 |
+
"learning_rate": 3.3796296296296295e-05,
|
2143 |
+
"loss": 0.0108,
|
2144 |
+
"step": 14300
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 3.31,
|
2148 |
+
"eval_accuracy": 0.999913215637207,
|
2149 |
+
"eval_loss": 0.00011388419807190076,
|
2150 |
+
"eval_runtime": 2043.6545,
|
2151 |
+
"eval_samples_per_second": 16.911,
|
2152 |
+
"eval_steps_per_second": 4.228,
|
2153 |
+
"step": 14300
|
2154 |
+
},
|
2155 |
+
{
|
2156 |
+
"epoch": 3.33,
|
2157 |
+
"learning_rate": 3.3333333333333335e-05,
|
2158 |
+
"loss": 0.0,
|
2159 |
+
"step": 14400
|
2160 |
+
},
|
2161 |
+
{
|
2162 |
+
"epoch": 3.33,
|
2163 |
+
"eval_accuracy": 0.9999710917472839,
|
2164 |
+
"eval_loss": 7.532363088103011e-05,
|
2165 |
+
"eval_runtime": 2040.9204,
|
2166 |
+
"eval_samples_per_second": 16.934,
|
2167 |
+
"eval_steps_per_second": 4.233,
|
2168 |
+
"step": 14400
|
2169 |
+
},
|
2170 |
+
{
|
2171 |
+
"epoch": 3.36,
|
2172 |
+
"learning_rate": 3.2870370370370375e-05,
|
2173 |
+
"loss": 0.0006,
|
2174 |
+
"step": 14500
|
2175 |
+
},
|
2176 |
+
{
|
2177 |
+
"epoch": 3.36,
|
2178 |
+
"eval_accuracy": 0.9999421238899231,
|
2179 |
+
"eval_loss": 0.0003408396732993424,
|
2180 |
+
"eval_runtime": 2057.5647,
|
2181 |
+
"eval_samples_per_second": 16.797,
|
2182 |
+
"eval_steps_per_second": 4.199,
|
2183 |
+
"step": 14500
|
2184 |
+
},
|
2185 |
+
{
|
2186 |
+
"epoch": 3.38,
|
2187 |
+
"learning_rate": 3.240740740740741e-05,
|
2188 |
+
"loss": 0.0085,
|
2189 |
+
"step": 14600
|
2190 |
+
},
|
2191 |
+
{
|
2192 |
+
"epoch": 3.38,
|
2193 |
+
"eval_accuracy": 0.9992766380310059,
|
2194 |
+
"eval_loss": 0.0034337618853896856,
|
2195 |
+
"eval_runtime": 2027.249,
|
2196 |
+
"eval_samples_per_second": 17.048,
|
2197 |
+
"eval_steps_per_second": 4.262,
|
2198 |
+
"step": 14600
|
2199 |
+
},
|
2200 |
+
{
|
2201 |
+
"epoch": 3.4,
|
2202 |
+
"learning_rate": 3.194444444444444e-05,
|
2203 |
+
"loss": 0.0002,
|
2204 |
+
"step": 14700
|
2205 |
+
},
|
2206 |
+
{
|
2207 |
+
"epoch": 3.4,
|
2208 |
+
"eval_accuracy": 0.999913215637207,
|
2209 |
+
"eval_loss": 0.0006225552642717957,
|
2210 |
+
"eval_runtime": 2004.1478,
|
2211 |
+
"eval_samples_per_second": 17.244,
|
2212 |
+
"eval_steps_per_second": 4.311,
|
2213 |
+
"step": 14700
|
2214 |
+
},
|
2215 |
+
{
|
2216 |
+
"epoch": 3.43,
|
2217 |
+
"learning_rate": 3.148148148148148e-05,
|
2218 |
+
"loss": 0.0181,
|
2219 |
+
"step": 14800
|
2220 |
+
},
|
2221 |
+
{
|
2222 |
+
"epoch": 3.43,
|
2223 |
+
"eval_accuracy": 0.9999710917472839,
|
2224 |
+
"eval_loss": 0.000251033779932186,
|
2225 |
+
"eval_runtime": 2016.4131,
|
2226 |
+
"eval_samples_per_second": 17.139,
|
2227 |
+
"eval_steps_per_second": 4.285,
|
2228 |
+
"step": 14800
|
2229 |
+
},
|
2230 |
+
{
|
2231 |
+
"epoch": 3.45,
|
2232 |
+
"learning_rate": 3.101851851851852e-05,
|
2233 |
+
"loss": 0.0021,
|
2234 |
+
"step": 14900
|
2235 |
+
},
|
2236 |
+
{
|
2237 |
+
"epoch": 3.45,
|
2238 |
+
"eval_accuracy": 0.999913215637207,
|
2239 |
+
"eval_loss": 0.00040141510544344783,
|
2240 |
+
"eval_runtime": 2000.3942,
|
2241 |
+
"eval_samples_per_second": 17.277,
|
2242 |
+
"eval_steps_per_second": 4.319,
|
2243 |
+
"step": 14900
|
2244 |
+
},
|
2245 |
+
{
|
2246 |
+
"epoch": 3.47,
|
2247 |
+
"learning_rate": 3.055555555555556e-05,
|
2248 |
+
"loss": 0.0069,
|
2249 |
+
"step": 15000
|
2250 |
+
},
|
2251 |
+
{
|
2252 |
+
"epoch": 3.47,
|
2253 |
+
"eval_accuracy": 0.9998842477798462,
|
2254 |
+
"eval_loss": 0.0006463331519626081,
|
2255 |
+
"eval_runtime": 2015.2783,
|
2256 |
+
"eval_samples_per_second": 17.149,
|
2257 |
+
"eval_steps_per_second": 4.287,
|
2258 |
+
"step": 15000
|
2259 |
+
},
|
2260 |
+
{
|
2261 |
+
"epoch": 3.5,
|
2262 |
+
"learning_rate": 3.0092592592592593e-05,
|
2263 |
+
"loss": 0.0156,
|
2264 |
+
"step": 15100
|
2265 |
+
},
|
2266 |
+
{
|
2267 |
+
"epoch": 3.5,
|
2268 |
+
"eval_accuracy": 0.9999710917472839,
|
2269 |
+
"eval_loss": 0.0001428252726327628,
|
2270 |
+
"eval_runtime": 1995.7618,
|
2271 |
+
"eval_samples_per_second": 17.317,
|
2272 |
+
"eval_steps_per_second": 4.329,
|
2273 |
+
"step": 15100
|
2274 |
+
},
|
2275 |
+
{
|
2276 |
+
"epoch": 3.52,
|
2277 |
+
"learning_rate": 2.962962962962963e-05,
|
2278 |
+
"loss": 0.0042,
|
2279 |
+
"step": 15200
|
2280 |
+
},
|
2281 |
+
{
|
2282 |
+
"epoch": 3.52,
|
2283 |
+
"eval_accuracy": 0.9997974634170532,
|
2284 |
+
"eval_loss": 0.000510143639985472,
|
2285 |
+
"eval_runtime": 2000.972,
|
2286 |
+
"eval_samples_per_second": 17.272,
|
2287 |
+
"eval_steps_per_second": 4.318,
|
2288 |
+
"step": 15200
|
2289 |
+
},
|
2290 |
+
{
|
2291 |
+
"epoch": 3.54,
|
2292 |
+
"learning_rate": 2.916666666666667e-05,
|
2293 |
+
"loss": 0.0233,
|
2294 |
+
"step": 15300
|
2295 |
+
},
|
2296 |
+
{
|
2297 |
+
"epoch": 3.54,
|
2298 |
+
"eval_accuracy": 0.9999710917472839,
|
2299 |
+
"eval_loss": 0.00019888828683178872,
|
2300 |
+
"eval_runtime": 2002.1598,
|
2301 |
+
"eval_samples_per_second": 17.261,
|
2302 |
+
"eval_steps_per_second": 4.315,
|
2303 |
+
"step": 15300
|
2304 |
+
},
|
2305 |
+
{
|
2306 |
+
"epoch": 3.56,
|
2307 |
+
"learning_rate": 2.8703703703703706e-05,
|
2308 |
+
"loss": 0.003,
|
2309 |
+
"step": 15400
|
2310 |
+
},
|
2311 |
+
{
|
2312 |
+
"epoch": 3.56,
|
2313 |
+
"eval_accuracy": 0.9997974634170532,
|
2314 |
+
"eval_loss": 0.0006905001355335116,
|
2315 |
+
"eval_runtime": 2000.419,
|
2316 |
+
"eval_samples_per_second": 17.276,
|
2317 |
+
"eval_steps_per_second": 4.319,
|
2318 |
+
"step": 15400
|
2319 |
+
},
|
2320 |
+
{
|
2321 |
+
"epoch": 3.59,
|
2322 |
+
"learning_rate": 2.824074074074074e-05,
|
2323 |
+
"loss": 0.0149,
|
2324 |
+
"step": 15500
|
2325 |
+
},
|
2326 |
+
{
|
2327 |
+
"epoch": 3.59,
|
2328 |
+
"eval_accuracy": 0.9998553395271301,
|
2329 |
+
"eval_loss": 0.000585312838666141,
|
2330 |
+
"eval_runtime": 1997.3791,
|
2331 |
+
"eval_samples_per_second": 17.303,
|
2332 |
+
"eval_steps_per_second": 4.326,
|
2333 |
+
"step": 15500
|
2334 |
+
},
|
2335 |
+
{
|
2336 |
+
"epoch": 3.61,
|
2337 |
+
"learning_rate": 2.777777777777778e-05,
|
2338 |
+
"loss": 0.0072,
|
2339 |
+
"step": 15600
|
2340 |
+
},
|
2341 |
+
{
|
2342 |
+
"epoch": 3.61,
|
2343 |
+
"eval_accuracy": 0.9999710917472839,
|
2344 |
+
"eval_loss": 0.000229826764552854,
|
2345 |
+
"eval_runtime": 2001.2597,
|
2346 |
+
"eval_samples_per_second": 17.269,
|
2347 |
+
"eval_steps_per_second": 4.317,
|
2348 |
+
"step": 15600
|
2349 |
+
},
|
2350 |
+
{
|
2351 |
+
"epoch": 3.63,
|
2352 |
+
"learning_rate": 2.7314814814814816e-05,
|
2353 |
+
"loss": 0.0004,
|
2354 |
+
"step": 15700
|
2355 |
+
},
|
2356 |
+
{
|
2357 |
+
"epoch": 3.63,
|
2358 |
+
"eval_accuracy": 0.9999710917472839,
|
2359 |
+
"eval_loss": 5.024338679504581e-05,
|
2360 |
+
"eval_runtime": 2013.5805,
|
2361 |
+
"eval_samples_per_second": 17.163,
|
2362 |
+
"eval_steps_per_second": 4.291,
|
2363 |
+
"step": 15700
|
2364 |
+
},
|
2365 |
+
{
|
2366 |
+
"epoch": 3.66,
|
2367 |
+
"learning_rate": 2.6851851851851855e-05,
|
2368 |
+
"loss": 0.0001,
|
2369 |
+
"step": 15800
|
2370 |
+
},
|
2371 |
+
{
|
2372 |
+
"epoch": 3.66,
|
2373 |
+
"eval_accuracy": 0.999913215637207,
|
2374 |
+
"eval_loss": 0.00017916383512783796,
|
2375 |
+
"eval_runtime": 1994.345,
|
2376 |
+
"eval_samples_per_second": 17.329,
|
2377 |
+
"eval_steps_per_second": 4.332,
|
2378 |
+
"step": 15800
|
2379 |
+
},
|
2380 |
+
{
|
2381 |
+
"epoch": 3.68,
|
2382 |
+
"learning_rate": 2.6388888888888892e-05,
|
2383 |
+
"loss": 0.0186,
|
2384 |
+
"step": 15900
|
2385 |
+
},
|
2386 |
+
{
|
2387 |
+
"epoch": 3.68,
|
2388 |
+
"eval_accuracy": 1.0,
|
2389 |
+
"eval_loss": 9.207503353536595e-06,
|
2390 |
+
"eval_runtime": 2056.2161,
|
2391 |
+
"eval_samples_per_second": 16.808,
|
2392 |
+
"eval_steps_per_second": 4.202,
|
2393 |
+
"step": 15900
|
2394 |
+
},
|
2395 |
+
{
|
2396 |
+
"epoch": 3.7,
|
2397 |
+
"learning_rate": 2.5925925925925925e-05,
|
2398 |
+
"loss": 0.0115,
|
2399 |
+
"step": 16000
|
2400 |
+
},
|
2401 |
+
{
|
2402 |
+
"epoch": 3.7,
|
2403 |
+
"eval_accuracy": 0.9999710917472839,
|
2404 |
+
"eval_loss": 0.00022165325935930014,
|
2405 |
+
"eval_runtime": 2044.6907,
|
2406 |
+
"eval_samples_per_second": 16.902,
|
2407 |
+
"eval_steps_per_second": 4.226,
|
2408 |
+
"step": 16000
|
2409 |
+
},
|
2410 |
+
{
|
2411 |
+
"epoch": 3.73,
|
2412 |
+
"learning_rate": 2.5462962962962965e-05,
|
2413 |
+
"loss": 0.0011,
|
2414 |
+
"step": 16100
|
2415 |
+
},
|
2416 |
+
{
|
2417 |
+
"epoch": 3.73,
|
2418 |
+
"eval_accuracy": 0.9999710917472839,
|
2419 |
+
"eval_loss": 0.00027788631268776953,
|
2420 |
+
"eval_runtime": 2046.6409,
|
2421 |
+
"eval_samples_per_second": 16.886,
|
2422 |
+
"eval_steps_per_second": 4.222,
|
2423 |
+
"step": 16100
|
2424 |
+
},
|
2425 |
+
{
|
2426 |
+
"epoch": 3.75,
|
2427 |
+
"learning_rate": 2.5e-05,
|
2428 |
+
"loss": 0.0048,
|
2429 |
+
"step": 16200
|
2430 |
+
},
|
2431 |
+
{
|
2432 |
+
"epoch": 3.75,
|
2433 |
+
"eval_accuracy": 0.9999710917472839,
|
2434 |
+
"eval_loss": 5.909843821427785e-05,
|
2435 |
+
"eval_runtime": 2008.3137,
|
2436 |
+
"eval_samples_per_second": 17.208,
|
2437 |
+
"eval_steps_per_second": 4.302,
|
2438 |
+
"step": 16200
|
2439 |
+
},
|
2440 |
+
{
|
2441 |
+
"epoch": 3.77,
|
2442 |
+
"learning_rate": 2.4537037037037038e-05,
|
2443 |
+
"loss": 0.0042,
|
2444 |
+
"step": 16300
|
2445 |
+
},
|
2446 |
+
{
|
2447 |
+
"epoch": 3.77,
|
2448 |
+
"eval_accuracy": 1.0,
|
2449 |
+
"eval_loss": 6.828932328062365e-06,
|
2450 |
+
"eval_runtime": 2129.8226,
|
2451 |
+
"eval_samples_per_second": 16.227,
|
2452 |
+
"eval_steps_per_second": 4.057,
|
2453 |
+
"step": 16300
|
2454 |
+
},
|
2455 |
+
{
|
2456 |
+
"epoch": 3.8,
|
2457 |
+
"learning_rate": 2.4074074074074074e-05,
|
2458 |
+
"loss": 0.0024,
|
2459 |
+
"step": 16400
|
2460 |
+
},
|
2461 |
+
{
|
2462 |
+
"epoch": 3.8,
|
2463 |
+
"eval_accuracy": 1.0,
|
2464 |
+
"eval_loss": 8.2383139670128e-06,
|
2465 |
+
"eval_runtime": 2113.6583,
|
2466 |
+
"eval_samples_per_second": 16.351,
|
2467 |
+
"eval_steps_per_second": 4.088,
|
2468 |
+
"step": 16400
|
2469 |
+
},
|
2470 |
+
{
|
2471 |
+
"epoch": 3.82,
|
2472 |
+
"learning_rate": 2.361111111111111e-05,
|
2473 |
+
"loss": 0.0,
|
2474 |
+
"step": 16500
|
2475 |
+
},
|
2476 |
+
{
|
2477 |
+
"epoch": 3.82,
|
2478 |
+
"eval_accuracy": 1.0,
|
2479 |
+
"eval_loss": 5.800426606583642e-06,
|
2480 |
+
"eval_runtime": 2122.3997,
|
2481 |
+
"eval_samples_per_second": 16.283,
|
2482 |
+
"eval_steps_per_second": 4.071,
|
2483 |
+
"step": 16500
|
2484 |
+
},
|
2485 |
+
{
|
2486 |
+
"epoch": 3.84,
|
2487 |
+
"learning_rate": 2.314814814814815e-05,
|
2488 |
+
"loss": 0.0003,
|
2489 |
+
"step": 16600
|
2490 |
+
},
|
2491 |
+
{
|
2492 |
+
"epoch": 3.84,
|
2493 |
+
"eval_accuracy": 0.9999710917472839,
|
2494 |
+
"eval_loss": 0.00010272156214341521,
|
2495 |
+
"eval_runtime": 2128.9658,
|
2496 |
+
"eval_samples_per_second": 16.233,
|
2497 |
+
"eval_steps_per_second": 4.058,
|
2498 |
+
"step": 16600
|
2499 |
+
},
|
2500 |
+
{
|
2501 |
+
"epoch": 3.87,
|
2502 |
+
"learning_rate": 2.2685185185185187e-05,
|
2503 |
+
"loss": 0.0,
|
2504 |
+
"step": 16700
|
2505 |
+
},
|
2506 |
+
{
|
2507 |
+
"epoch": 3.87,
|
2508 |
+
"eval_accuracy": 0.9999710917472839,
|
2509 |
+
"eval_loss": 7.889495464041829e-05,
|
2510 |
+
"eval_runtime": 2147.2327,
|
2511 |
+
"eval_samples_per_second": 16.095,
|
2512 |
+
"eval_steps_per_second": 4.024,
|
2513 |
+
"step": 16700
|
2514 |
+
},
|
2515 |
+
{
|
2516 |
+
"epoch": 3.89,
|
2517 |
+
"learning_rate": 2.2222222222222223e-05,
|
2518 |
+
"loss": 0.0,
|
2519 |
+
"step": 16800
|
2520 |
+
},
|
2521 |
+
{
|
2522 |
+
"epoch": 3.89,
|
2523 |
+
"eval_accuracy": 0.9999710917472839,
|
2524 |
+
"eval_loss": 7.938377530081198e-05,
|
2525 |
+
"eval_runtime": 2139.4855,
|
2526 |
+
"eval_samples_per_second": 16.153,
|
2527 |
+
"eval_steps_per_second": 4.038,
|
2528 |
+
"step": 16800
|
2529 |
+
},
|
2530 |
+
{
|
2531 |
+
"epoch": 3.91,
|
2532 |
+
"learning_rate": 2.175925925925926e-05,
|
2533 |
+
"loss": 0.0029,
|
2534 |
+
"step": 16900
|
2535 |
+
},
|
2536 |
+
{
|
2537 |
+
"epoch": 3.91,
|
2538 |
+
"eval_accuracy": 0.9998842477798462,
|
2539 |
+
"eval_loss": 0.0005274215945973992,
|
2540 |
+
"eval_runtime": 2142.1862,
|
2541 |
+
"eval_samples_per_second": 16.133,
|
2542 |
+
"eval_steps_per_second": 4.033,
|
2543 |
+
"step": 16900
|
2544 |
+
},
|
2545 |
+
{
|
2546 |
+
"epoch": 3.94,
|
2547 |
+
"learning_rate": 2.1296296296296296e-05,
|
2548 |
+
"loss": 0.0066,
|
2549 |
+
"step": 17000
|
2550 |
+
},
|
2551 |
+
{
|
2552 |
+
"epoch": 3.94,
|
2553 |
+
"eval_accuracy": 0.9999710917472839,
|
2554 |
+
"eval_loss": 0.00019657429947983474,
|
2555 |
+
"eval_runtime": 2149.2032,
|
2556 |
+
"eval_samples_per_second": 16.08,
|
2557 |
+
"eval_steps_per_second": 4.02,
|
2558 |
+
"step": 17000
|
2559 |
+
},
|
2560 |
+
{
|
2561 |
+
"epoch": 3.96,
|
2562 |
+
"learning_rate": 2.0833333333333336e-05,
|
2563 |
+
"loss": 0.0079,
|
2564 |
+
"step": 17100
|
2565 |
+
},
|
2566 |
+
{
|
2567 |
+
"epoch": 3.96,
|
2568 |
+
"eval_accuracy": 0.9999710917472839,
|
2569 |
+
"eval_loss": 5.7856173953041434e-05,
|
2570 |
+
"eval_runtime": 2135.9752,
|
2571 |
+
"eval_samples_per_second": 16.18,
|
2572 |
+
"eval_steps_per_second": 4.045,
|
2573 |
+
"step": 17100
|
2574 |
+
},
|
2575 |
+
{
|
2576 |
+
"epoch": 3.98,
|
2577 |
+
"learning_rate": 2.037037037037037e-05,
|
2578 |
+
"loss": 0.0091,
|
2579 |
+
"step": 17200
|
2580 |
+
},
|
2581 |
+
{
|
2582 |
+
"epoch": 3.98,
|
2583 |
+
"eval_accuracy": 0.9999421238899231,
|
2584 |
+
"eval_loss": 0.00015575718134641647,
|
2585 |
+
"eval_runtime": 2158.5953,
|
2586 |
+
"eval_samples_per_second": 16.01,
|
2587 |
+
"eval_steps_per_second": 4.003,
|
2588 |
+
"step": 17200
|
2589 |
+
},
|
2590 |
+
{
|
2591 |
+
"epoch": 4.0,
|
2592 |
+
"learning_rate": 1.990740740740741e-05,
|
2593 |
+
"loss": 0.0951,
|
2594 |
+
"step": 17300
|
2595 |
+
},
|
2596 |
+
{
|
2597 |
+
"epoch": 4.0,
|
2598 |
+
"eval_accuracy": 0.9999710917472839,
|
2599 |
+
"eval_loss": 6.823511648690328e-05,
|
2600 |
+
"eval_runtime": 2106.2766,
|
2601 |
+
"eval_samples_per_second": 16.408,
|
2602 |
+
"eval_steps_per_second": 4.102,
|
2603 |
+
"step": 17300
|
2604 |
+
},
|
2605 |
+
{
|
2606 |
+
"epoch": 4.03,
|
2607 |
+
"learning_rate": 1.9444444444444445e-05,
|
2608 |
+
"loss": 0.0578,
|
2609 |
+
"step": 17400
|
2610 |
+
},
|
2611 |
+
{
|
2612 |
+
"epoch": 4.03,
|
2613 |
+
"eval_accuracy": 0.9999421238899231,
|
2614 |
+
"eval_loss": 0.00031872568069957197,
|
2615 |
+
"eval_runtime": 2091.5056,
|
2616 |
+
"eval_samples_per_second": 16.524,
|
2617 |
+
"eval_steps_per_second": 4.131,
|
2618 |
+
"step": 17400
|
2619 |
+
},
|
2620 |
+
{
|
2621 |
+
"epoch": 4.05,
|
2622 |
+
"learning_rate": 1.8981481481481482e-05,
|
2623 |
+
"loss": 0.0171,
|
2624 |
+
"step": 17500
|
2625 |
+
},
|
2626 |
+
{
|
2627 |
+
"epoch": 4.05,
|
2628 |
+
"eval_accuracy": 0.9999421238899231,
|
2629 |
+
"eval_loss": 0.0003504869237076491,
|
2630 |
+
"eval_runtime": 2076.2302,
|
2631 |
+
"eval_samples_per_second": 16.646,
|
2632 |
+
"eval_steps_per_second": 4.161,
|
2633 |
+
"step": 17500
|
2634 |
+
},
|
2635 |
+
{
|
2636 |
+
"epoch": 4.07,
|
2637 |
+
"learning_rate": 1.8518518518518518e-05,
|
2638 |
+
"loss": 0.0305,
|
2639 |
+
"step": 17600
|
2640 |
+
},
|
2641 |
+
{
|
2642 |
+
"epoch": 4.07,
|
2643 |
+
"eval_accuracy": 0.9999710917472839,
|
2644 |
+
"eval_loss": 0.00012279333896003664,
|
2645 |
+
"eval_runtime": 2072.7643,
|
2646 |
+
"eval_samples_per_second": 16.673,
|
2647 |
+
"eval_steps_per_second": 4.168,
|
2648 |
+
"step": 17600
|
2649 |
+
},
|
2650 |
+
{
|
2651 |
+
"epoch": 4.1,
|
2652 |
+
"learning_rate": 1.8055555555555555e-05,
|
2653 |
+
"loss": 0.0449,
|
2654 |
+
"step": 17700
|
2655 |
+
},
|
2656 |
+
{
|
2657 |
+
"epoch": 4.1,
|
2658 |
+
"eval_accuracy": 0.9999710917472839,
|
2659 |
+
"eval_loss": 0.00021972648391965777,
|
2660 |
+
"eval_runtime": 2090.628,
|
2661 |
+
"eval_samples_per_second": 16.531,
|
2662 |
+
"eval_steps_per_second": 4.133,
|
2663 |
+
"step": 17700
|
2664 |
+
},
|
2665 |
+
{
|
2666 |
+
"epoch": 4.12,
|
2667 |
+
"learning_rate": 1.7592592592592595e-05,
|
2668 |
+
"loss": 0.0161,
|
2669 |
+
"step": 17800
|
2670 |
+
},
|
2671 |
+
{
|
2672 |
+
"epoch": 4.12,
|
2673 |
+
"eval_accuracy": 1.0,
|
2674 |
+
"eval_loss": 2.7198611860512756e-05,
|
2675 |
+
"eval_runtime": 2085.7289,
|
2676 |
+
"eval_samples_per_second": 16.57,
|
2677 |
+
"eval_steps_per_second": 4.142,
|
2678 |
+
"step": 17800
|
2679 |
+
},
|
2680 |
+
{
|
2681 |
+
"epoch": 4.14,
|
2682 |
+
"learning_rate": 1.712962962962963e-05,
|
2683 |
+
"loss": 0.0322,
|
2684 |
+
"step": 17900
|
2685 |
+
},
|
2686 |
+
{
|
2687 |
+
"epoch": 4.14,
|
2688 |
+
"eval_accuracy": 1.0,
|
2689 |
+
"eval_loss": 2.2180371161084622e-05,
|
2690 |
+
"eval_runtime": 2061.6769,
|
2691 |
+
"eval_samples_per_second": 16.763,
|
2692 |
+
"eval_steps_per_second": 4.191,
|
2693 |
+
"step": 17900
|
2694 |
+
},
|
2695 |
+
{
|
2696 |
+
"epoch": 4.17,
|
2697 |
+
"learning_rate": 1.6666666666666667e-05,
|
2698 |
+
"loss": 0.0358,
|
2699 |
+
"step": 18000
|
2700 |
+
},
|
2701 |
+
{
|
2702 |
+
"epoch": 4.17,
|
2703 |
+
"eval_accuracy": 0.9999710917472839,
|
2704 |
+
"eval_loss": 0.00010751090303529054,
|
2705 |
+
"eval_runtime": 2107.1409,
|
2706 |
+
"eval_samples_per_second": 16.401,
|
2707 |
+
"eval_steps_per_second": 4.1,
|
2708 |
+
"step": 18000
|
2709 |
+
},
|
2710 |
+
{
|
2711 |
+
"epoch": 4.19,
|
2712 |
+
"learning_rate": 1.6203703703703704e-05,
|
2713 |
+
"loss": 0.0264,
|
2714 |
+
"step": 18100
|
2715 |
+
},
|
2716 |
+
{
|
2717 |
+
"epoch": 4.19,
|
2718 |
+
"eval_accuracy": 1.0,
|
2719 |
+
"eval_loss": 6.194192792463582e-06,
|
2720 |
+
"eval_runtime": 2091.7086,
|
2721 |
+
"eval_samples_per_second": 16.522,
|
2722 |
+
"eval_steps_per_second": 4.131,
|
2723 |
+
"step": 18100
|
2724 |
+
},
|
2725 |
+
{
|
2726 |
+
"epoch": 4.21,
|
2727 |
+
"learning_rate": 1.574074074074074e-05,
|
2728 |
+
"loss": 0.0199,
|
2729 |
+
"step": 18200
|
2730 |
+
},
|
2731 |
+
{
|
2732 |
+
"epoch": 4.21,
|
2733 |
+
"eval_accuracy": 1.0,
|
2734 |
+
"eval_loss": 6.114233656262513e-06,
|
2735 |
+
"eval_runtime": 2093.6259,
|
2736 |
+
"eval_samples_per_second": 16.507,
|
2737 |
+
"eval_steps_per_second": 4.127,
|
2738 |
+
"step": 18200
|
2739 |
+
},
|
2740 |
+
{
|
2741 |
+
"epoch": 4.24,
|
2742 |
+
"learning_rate": 1.527777777777778e-05,
|
2743 |
+
"loss": 0.0266,
|
2744 |
+
"step": 18300
|
2745 |
+
},
|
2746 |
+
{
|
2747 |
+
"epoch": 4.24,
|
2748 |
+
"eval_accuracy": 1.0,
|
2749 |
+
"eval_loss": 6.532317456731107e-06,
|
2750 |
+
"eval_runtime": 2103.3039,
|
2751 |
+
"eval_samples_per_second": 16.431,
|
2752 |
+
"eval_steps_per_second": 4.108,
|
2753 |
+
"step": 18300
|
2754 |
+
},
|
2755 |
+
{
|
2756 |
+
"epoch": 4.26,
|
2757 |
+
"learning_rate": 1.4814814814814815e-05,
|
2758 |
+
"loss": 0.0162,
|
2759 |
+
"step": 18400
|
2760 |
+
},
|
2761 |
+
{
|
2762 |
+
"epoch": 4.26,
|
2763 |
+
"eval_accuracy": 1.0,
|
2764 |
+
"eval_loss": 6.056379334040685e-06,
|
2765 |
+
"eval_runtime": 2141.6719,
|
2766 |
+
"eval_samples_per_second": 16.137,
|
2767 |
+
"eval_steps_per_second": 4.034,
|
2768 |
+
"step": 18400
|
2769 |
+
},
|
2770 |
+
{
|
2771 |
+
"epoch": 4.28,
|
2772 |
+
"learning_rate": 1.4351851851851853e-05,
|
2773 |
+
"loss": 0.0142,
|
2774 |
+
"step": 18500
|
2775 |
+
},
|
2776 |
+
{
|
2777 |
+
"epoch": 4.28,
|
2778 |
+
"eval_accuracy": 1.0,
|
2779 |
+
"eval_loss": 6.732083420502022e-06,
|
2780 |
+
"eval_runtime": 2137.4831,
|
2781 |
+
"eval_samples_per_second": 16.169,
|
2782 |
+
"eval_steps_per_second": 4.042,
|
2783 |
+
"step": 18500
|
2784 |
+
},
|
2785 |
+
{
|
2786 |
+
"epoch": 4.31,
|
2787 |
+
"learning_rate": 1.388888888888889e-05,
|
2788 |
+
"loss": 0.0353,
|
2789 |
+
"step": 18600
|
2790 |
+
},
|
2791 |
+
{
|
2792 |
+
"epoch": 4.31,
|
2793 |
+
"eval_accuracy": 1.0,
|
2794 |
+
"eval_loss": 5.884473466721829e-06,
|
2795 |
+
"eval_runtime": 2111.534,
|
2796 |
+
"eval_samples_per_second": 16.367,
|
2797 |
+
"eval_steps_per_second": 4.092,
|
2798 |
+
"step": 18600
|
2799 |
+
},
|
2800 |
+
{
|
2801 |
+
"epoch": 4.33,
|
2802 |
+
"learning_rate": 1.3425925925925928e-05,
|
2803 |
+
"loss": 0.0435,
|
2804 |
+
"step": 18700
|
2805 |
+
},
|
2806 |
+
{
|
2807 |
+
"epoch": 4.33,
|
2808 |
+
"eval_accuracy": 1.0,
|
2809 |
+
"eval_loss": 6.438468062697211e-06,
|
2810 |
+
"eval_runtime": 2127.2273,
|
2811 |
+
"eval_samples_per_second": 16.247,
|
2812 |
+
"eval_steps_per_second": 4.062,
|
2813 |
+
"step": 18700
|
2814 |
+
},
|
2815 |
+
{
|
2816 |
+
"epoch": 4.35,
|
2817 |
+
"learning_rate": 1.2962962962962962e-05,
|
2818 |
+
"loss": 0.0067,
|
2819 |
+
"step": 18800
|
2820 |
+
},
|
2821 |
+
{
|
2822 |
+
"epoch": 4.35,
|
2823 |
+
"eval_accuracy": 1.0,
|
2824 |
+
"eval_loss": 9.256172234017868e-06,
|
2825 |
+
"eval_runtime": 2183.0463,
|
2826 |
+
"eval_samples_per_second": 15.831,
|
2827 |
+
"eval_steps_per_second": 3.958,
|
2828 |
+
"step": 18800
|
2829 |
+
},
|
2830 |
+
{
|
2831 |
+
"epoch": 4.38,
|
2832 |
+
"learning_rate": 1.25e-05,
|
2833 |
+
"loss": 0.0299,
|
2834 |
+
"step": 18900
|
2835 |
+
},
|
2836 |
+
{
|
2837 |
+
"epoch": 4.38,
|
2838 |
+
"eval_accuracy": 1.0,
|
2839 |
+
"eval_loss": 6.904490419401554e-06,
|
2840 |
+
"eval_runtime": 2110.4592,
|
2841 |
+
"eval_samples_per_second": 16.376,
|
2842 |
+
"eval_steps_per_second": 4.094,
|
2843 |
+
"step": 18900
|
2844 |
+
},
|
2845 |
+
{
|
2846 |
+
"epoch": 4.4,
|
2847 |
+
"learning_rate": 1.2037037037037037e-05,
|
2848 |
+
"loss": 0.0063,
|
2849 |
+
"step": 19000
|
2850 |
+
},
|
2851 |
+
{
|
2852 |
+
"epoch": 4.4,
|
2853 |
+
"eval_accuracy": 1.0,
|
2854 |
+
"eval_loss": 6.991323061811272e-06,
|
2855 |
+
"eval_runtime": 2074.4391,
|
2856 |
+
"eval_samples_per_second": 16.66,
|
2857 |
+
"eval_steps_per_second": 4.165,
|
2858 |
+
"step": 19000
|
2859 |
+
},
|
2860 |
+
{
|
2861 |
+
"epoch": 4.42,
|
2862 |
+
"learning_rate": 1.1574074074074075e-05,
|
2863 |
+
"loss": 0.0117,
|
2864 |
+
"step": 19100
|
2865 |
+
},
|
2866 |
+
{
|
2867 |
+
"epoch": 4.42,
|
2868 |
+
"eval_accuracy": 1.0,
|
2869 |
+
"eval_loss": 5.223146672506118e-06,
|
2870 |
+
"eval_runtime": 2093.0232,
|
2871 |
+
"eval_samples_per_second": 16.512,
|
2872 |
+
"eval_steps_per_second": 4.128,
|
2873 |
+
"step": 19100
|
2874 |
+
},
|
2875 |
+
{
|
2876 |
+
"epoch": 4.44,
|
2877 |
+
"learning_rate": 1.1111111111111112e-05,
|
2878 |
+
"loss": 0.0107,
|
2879 |
+
"step": 19200
|
2880 |
+
},
|
2881 |
+
{
|
2882 |
+
"epoch": 4.44,
|
2883 |
+
"eval_accuracy": 1.0,
|
2884 |
+
"eval_loss": 7.764682777633425e-06,
|
2885 |
+
"eval_runtime": 2092.3489,
|
2886 |
+
"eval_samples_per_second": 16.517,
|
2887 |
+
"eval_steps_per_second": 4.129,
|
2888 |
+
"step": 19200
|
2889 |
+
},
|
2890 |
+
{
|
2891 |
+
"epoch": 4.47,
|
2892 |
+
"learning_rate": 1.0648148148148148e-05,
|
2893 |
+
"loss": 0.0162,
|
2894 |
+
"step": 19300
|
2895 |
+
},
|
2896 |
+
{
|
2897 |
+
"epoch": 4.47,
|
2898 |
+
"eval_accuracy": 1.0,
|
2899 |
+
"eval_loss": 5.700497240468394e-06,
|
2900 |
+
"eval_runtime": 2095.1985,
|
2901 |
+
"eval_samples_per_second": 16.495,
|
2902 |
+
"eval_steps_per_second": 4.124,
|
2903 |
+
"step": 19300
|
2904 |
+
},
|
2905 |
+
{
|
2906 |
+
"epoch": 4.49,
|
2907 |
+
"learning_rate": 1.0185185185185185e-05,
|
2908 |
+
"loss": 0.0138,
|
2909 |
+
"step": 19400
|
2910 |
+
},
|
2911 |
+
{
|
2912 |
+
"epoch": 4.49,
|
2913 |
+
"eval_accuracy": 1.0,
|
2914 |
+
"eval_loss": 5.209324172028573e-06,
|
2915 |
+
"eval_runtime": 2073.7497,
|
2916 |
+
"eval_samples_per_second": 16.665,
|
2917 |
+
"eval_steps_per_second": 4.166,
|
2918 |
+
"step": 19400
|
2919 |
+
},
|
2920 |
+
{
|
2921 |
+
"epoch": 4.51,
|
2922 |
+
"learning_rate": 9.722222222222223e-06,
|
2923 |
+
"loss": 0.0124,
|
2924 |
+
"step": 19500
|
2925 |
+
},
|
2926 |
+
{
|
2927 |
+
"epoch": 4.51,
|
2928 |
+
"eval_accuracy": 1.0,
|
2929 |
+
"eval_loss": 5.243016858003102e-06,
|
2930 |
+
"eval_runtime": 2056.3515,
|
2931 |
+
"eval_samples_per_second": 16.806,
|
2932 |
+
"eval_steps_per_second": 4.202,
|
2933 |
+
"step": 19500
|
2934 |
+
},
|
2935 |
+
{
|
2936 |
+
"epoch": 4.54,
|
2937 |
+
"learning_rate": 9.259259259259259e-06,
|
2938 |
+
"loss": 0.0083,
|
2939 |
+
"step": 19600
|
2940 |
+
},
|
2941 |
+
{
|
2942 |
+
"epoch": 4.54,
|
2943 |
+
"eval_accuracy": 1.0,
|
2944 |
+
"eval_loss": 5.0634776016522665e-06,
|
2945 |
+
"eval_runtime": 2077.8389,
|
2946 |
+
"eval_samples_per_second": 16.633,
|
2947 |
+
"eval_steps_per_second": 4.158,
|
2948 |
+
"step": 19600
|
2949 |
+
},
|
2950 |
+
{
|
2951 |
+
"epoch": 4.56,
|
2952 |
+
"learning_rate": 8.796296296296297e-06,
|
2953 |
+
"loss": 0.0066,
|
2954 |
+
"step": 19700
|
2955 |
+
},
|
2956 |
+
{
|
2957 |
+
"epoch": 4.56,
|
2958 |
+
"eval_accuracy": 1.0,
|
2959 |
+
"eval_loss": 4.925776011077687e-06,
|
2960 |
+
"eval_runtime": 2073.5316,
|
2961 |
+
"eval_samples_per_second": 16.667,
|
2962 |
+
"eval_steps_per_second": 4.167,
|
2963 |
+
"step": 19700
|
2964 |
+
},
|
2965 |
+
{
|
2966 |
+
"epoch": 4.58,
|
2967 |
+
"learning_rate": 8.333333333333334e-06,
|
2968 |
+
"loss": 0.0058,
|
2969 |
+
"step": 19800
|
2970 |
+
},
|
2971 |
+
{
|
2972 |
+
"epoch": 4.58,
|
2973 |
+
"eval_accuracy": 1.0,
|
2974 |
+
"eval_loss": 4.750945663545281e-06,
|
2975 |
+
"eval_runtime": 2057.702,
|
2976 |
+
"eval_samples_per_second": 16.795,
|
2977 |
+
"eval_steps_per_second": 4.199,
|
2978 |
+
"step": 19800
|
2979 |
+
},
|
2980 |
+
{
|
2981 |
+
"epoch": 4.61,
|
2982 |
+
"learning_rate": 7.87037037037037e-06,
|
2983 |
+
"loss": 0.0032,
|
2984 |
+
"step": 19900
|
2985 |
+
},
|
2986 |
+
{
|
2987 |
+
"epoch": 4.61,
|
2988 |
+
"eval_accuracy": 1.0,
|
2989 |
+
"eval_loss": 6.96109145792434e-06,
|
2990 |
+
"eval_runtime": 2071.5479,
|
2991 |
+
"eval_samples_per_second": 16.683,
|
2992 |
+
"eval_steps_per_second": 4.171,
|
2993 |
+
"step": 19900
|
2994 |
+
},
|
2995 |
+
{
|
2996 |
+
"epoch": 4.63,
|
2997 |
+
"learning_rate": 7.4074074074074075e-06,
|
2998 |
+
"loss": 0.0205,
|
2999 |
+
"step": 20000
|
3000 |
+
},
|
3001 |
+
{
|
3002 |
+
"epoch": 4.63,
|
3003 |
+
"eval_accuracy": 1.0,
|
3004 |
+
"eval_loss": 4.608726612786995e-06,
|
3005 |
+
"eval_runtime": 2066.372,
|
3006 |
+
"eval_samples_per_second": 16.725,
|
3007 |
+
"eval_steps_per_second": 4.181,
|
3008 |
+
"step": 20000
|
3009 |
+
},
|
3010 |
+
{
|
3011 |
+
"epoch": 4.65,
|
3012 |
+
"learning_rate": 6.944444444444445e-06,
|
3013 |
+
"loss": 0.0094,
|
3014 |
+
"step": 20100
|
3015 |
+
},
|
3016 |
+
{
|
3017 |
+
"epoch": 4.65,
|
3018 |
+
"eval_accuracy": 1.0,
|
3019 |
+
"eval_loss": 4.8284973672707565e-06,
|
3020 |
+
"eval_runtime": 2054.9166,
|
3021 |
+
"eval_samples_per_second": 16.818,
|
3022 |
+
"eval_steps_per_second": 4.205,
|
3023 |
+
"step": 20100
|
3024 |
+
},
|
3025 |
+
{
|
3026 |
+
"epoch": 4.68,
|
3027 |
+
"learning_rate": 6.481481481481481e-06,
|
3028 |
+
"loss": 0.003,
|
3029 |
+
"step": 20200
|
3030 |
+
},
|
3031 |
+
{
|
3032 |
+
"epoch": 4.68,
|
3033 |
+
"eval_accuracy": 1.0,
|
3034 |
+
"eval_loss": 4.495966550166486e-06,
|
3035 |
+
"eval_runtime": 2072.6571,
|
3036 |
+
"eval_samples_per_second": 16.674,
|
3037 |
+
"eval_steps_per_second": 4.169,
|
3038 |
+
"step": 20200
|
3039 |
+
},
|
3040 |
+
{
|
3041 |
+
"epoch": 4.7,
|
3042 |
+
"learning_rate": 6.0185185185185185e-06,
|
3043 |
+
"loss": 0.0035,
|
3044 |
+
"step": 20300
|
3045 |
+
},
|
3046 |
+
{
|
3047 |
+
"epoch": 4.7,
|
3048 |
+
"eval_accuracy": 1.0,
|
3049 |
+
"eval_loss": 5.835635420226026e-06,
|
3050 |
+
"eval_runtime": 2047.8141,
|
3051 |
+
"eval_samples_per_second": 16.877,
|
3052 |
+
"eval_steps_per_second": 4.219,
|
3053 |
+
"step": 20300
|
3054 |
+
},
|
3055 |
+
{
|
3056 |
+
"epoch": 4.72,
|
3057 |
+
"learning_rate": 5.555555555555556e-06,
|
3058 |
+
"loss": 0.0257,
|
3059 |
+
"step": 20400
|
3060 |
+
},
|
3061 |
+
{
|
3062 |
+
"epoch": 4.72,
|
3063 |
+
"eval_accuracy": 1.0,
|
3064 |
+
"eval_loss": 5.829508609167533e-06,
|
3065 |
+
"eval_runtime": 2091.8646,
|
3066 |
+
"eval_samples_per_second": 16.521,
|
3067 |
+
"eval_steps_per_second": 4.13,
|
3068 |
+
"step": 20400
|
3069 |
+
},
|
3070 |
+
{
|
3071 |
+
"epoch": 4.75,
|
3072 |
+
"learning_rate": 5.092592592592592e-06,
|
3073 |
+
"loss": 0.0019,
|
3074 |
+
"step": 20500
|
3075 |
+
},
|
3076 |
+
{
|
3077 |
+
"epoch": 4.75,
|
3078 |
+
"eval_accuracy": 1.0,
|
3079 |
+
"eval_loss": 6.3429124566027895e-06,
|
3080 |
+
"eval_runtime": 2040.9379,
|
3081 |
+
"eval_samples_per_second": 16.933,
|
3082 |
+
"eval_steps_per_second": 4.233,
|
3083 |
+
"step": 20500
|
3084 |
+
},
|
3085 |
+
{
|
3086 |
+
"epoch": 4.77,
|
3087 |
+
"learning_rate": 4.6296296296296296e-06,
|
3088 |
+
"loss": 0.0023,
|
3089 |
+
"step": 20600
|
3090 |
+
},
|
3091 |
+
{
|
3092 |
+
"epoch": 4.77,
|
3093 |
+
"eval_accuracy": 1.0,
|
3094 |
+
"eval_loss": 8.131992217386141e-06,
|
3095 |
+
"eval_runtime": 2048.3614,
|
3096 |
+
"eval_samples_per_second": 16.872,
|
3097 |
+
"eval_steps_per_second": 4.218,
|
3098 |
+
"step": 20600
|
3099 |
+
},
|
3100 |
+
{
|
3101 |
+
"epoch": 4.79,
|
3102 |
+
"learning_rate": 4.166666666666667e-06,
|
3103 |
+
"loss": 0.0062,
|
3104 |
+
"step": 20700
|
3105 |
+
},
|
3106 |
+
{
|
3107 |
+
"epoch": 4.79,
|
3108 |
+
"eval_accuracy": 1.0,
|
3109 |
+
"eval_loss": 8.594151950092055e-06,
|
3110 |
+
"eval_runtime": 2094.5382,
|
3111 |
+
"eval_samples_per_second": 16.5,
|
3112 |
+
"eval_steps_per_second": 4.125,
|
3113 |
+
"step": 20700
|
3114 |
+
},
|
3115 |
+
{
|
3116 |
+
"epoch": 4.81,
|
3117 |
+
"learning_rate": 3.7037037037037037e-06,
|
3118 |
+
"loss": 0.0039,
|
3119 |
+
"step": 20800
|
3120 |
+
},
|
3121 |
+
{
|
3122 |
+
"epoch": 4.81,
|
3123 |
+
"eval_accuracy": 1.0,
|
3124 |
+
"eval_loss": 7.4294948717579246e-06,
|
3125 |
+
"eval_runtime": 2104.354,
|
3126 |
+
"eval_samples_per_second": 16.423,
|
3127 |
+
"eval_steps_per_second": 4.106,
|
3128 |
+
"step": 20800
|
3129 |
+
},
|
3130 |
+
{
|
3131 |
+
"epoch": 4.84,
|
3132 |
+
"learning_rate": 3.2407407407407406e-06,
|
3133 |
+
"loss": 0.0144,
|
3134 |
+
"step": 20900
|
3135 |
+
},
|
3136 |
+
{
|
3137 |
+
"epoch": 4.84,
|
3138 |
+
"eval_accuracy": 1.0,
|
3139 |
+
"eval_loss": 6.862039299448952e-06,
|
3140 |
+
"eval_runtime": 2101.0817,
|
3141 |
+
"eval_samples_per_second": 16.449,
|
3142 |
+
"eval_steps_per_second": 4.112,
|
3143 |
+
"step": 20900
|
3144 |
+
},
|
3145 |
+
{
|
3146 |
+
"epoch": 4.86,
|
3147 |
+
"learning_rate": 2.777777777777778e-06,
|
3148 |
+
"loss": 0.0109,
|
3149 |
+
"step": 21000
|
3150 |
+
},
|
3151 |
+
{
|
3152 |
+
"epoch": 4.86,
|
3153 |
+
"eval_accuracy": 1.0,
|
3154 |
+
"eval_loss": 6.136932825029362e-06,
|
3155 |
+
"eval_runtime": 2119.5964,
|
3156 |
+
"eval_samples_per_second": 16.305,
|
3157 |
+
"eval_steps_per_second": 4.076,
|
3158 |
+
"step": 21000
|
3159 |
+
},
|
3160 |
+
{
|
3161 |
+
"epoch": 4.88,
|
3162 |
+
"learning_rate": 2.3148148148148148e-06,
|
3163 |
+
"loss": 0.0148,
|
3164 |
+
"step": 21100
|
3165 |
+
},
|
3166 |
+
{
|
3167 |
+
"epoch": 4.88,
|
3168 |
+
"eval_accuracy": 1.0,
|
3169 |
+
"eval_loss": 6.497817139461404e-06,
|
3170 |
+
"eval_runtime": 2115.6009,
|
3171 |
+
"eval_samples_per_second": 16.336,
|
3172 |
+
"eval_steps_per_second": 4.084,
|
3173 |
+
"step": 21100
|
3174 |
+
},
|
3175 |
+
{
|
3176 |
+
"epoch": 4.91,
|
3177 |
+
"learning_rate": 1.8518518518518519e-06,
|
3178 |
+
"loss": 0.0308,
|
3179 |
+
"step": 21200
|
3180 |
+
},
|
3181 |
+
{
|
3182 |
+
"epoch": 4.91,
|
3183 |
+
"eval_accuracy": 1.0,
|
3184 |
+
"eval_loss": 7.753816134936642e-06,
|
3185 |
+
"eval_runtime": 2118.9207,
|
3186 |
+
"eval_samples_per_second": 16.31,
|
3187 |
+
"eval_steps_per_second": 4.078,
|
3188 |
+
"step": 21200
|
3189 |
+
},
|
3190 |
+
{
|
3191 |
+
"epoch": 4.93,
|
3192 |
+
"learning_rate": 1.388888888888889e-06,
|
3193 |
+
"loss": 0.0023,
|
3194 |
+
"step": 21300
|
3195 |
+
},
|
3196 |
+
{
|
3197 |
+
"epoch": 4.93,
|
3198 |
+
"eval_accuracy": 1.0,
|
3199 |
+
"eval_loss": 7.5415960054669995e-06,
|
3200 |
+
"eval_runtime": 2120.9953,
|
3201 |
+
"eval_samples_per_second": 16.294,
|
3202 |
+
"eval_steps_per_second": 4.074,
|
3203 |
+
"step": 21300
|
3204 |
+
},
|
3205 |
+
{
|
3206 |
+
"epoch": 4.95,
|
3207 |
+
"learning_rate": 9.259259259259259e-07,
|
3208 |
+
"loss": 0.0243,
|
3209 |
+
"step": 21400
|
3210 |
+
},
|
3211 |
+
{
|
3212 |
+
"epoch": 4.95,
|
3213 |
+
"eval_accuracy": 1.0,
|
3214 |
+
"eval_loss": 7.68591053201817e-06,
|
3215 |
+
"eval_runtime": 2120.6941,
|
3216 |
+
"eval_samples_per_second": 16.297,
|
3217 |
+
"eval_steps_per_second": 4.074,
|
3218 |
+
"step": 21400
|
3219 |
+
},
|
3220 |
+
{
|
3221 |
+
"epoch": 4.98,
|
3222 |
+
"learning_rate": 4.6296296296296297e-07,
|
3223 |
+
"loss": 0.0031,
|
3224 |
+
"step": 21500
|
3225 |
+
},
|
3226 |
+
{
|
3227 |
+
"epoch": 4.98,
|
3228 |
+
"eval_accuracy": 1.0,
|
3229 |
+
"eval_loss": 7.5350230872572865e-06,
|
3230 |
+
"eval_runtime": 2105.7948,
|
3231 |
+
"eval_samples_per_second": 16.412,
|
3232 |
+
"eval_steps_per_second": 4.103,
|
3233 |
+
"step": 21500
|
3234 |
+
},
|
3235 |
+
{
|
3236 |
+
"epoch": 5.0,
|
3237 |
+
"learning_rate": 0.0,
|
3238 |
+
"loss": 0.0272,
|
3239 |
+
"step": 21600
|
3240 |
+
},
|
3241 |
+
{
|
3242 |
+
"epoch": 5.0,
|
3243 |
+
"eval_accuracy": 1.0,
|
3244 |
+
"eval_loss": 7.493398243241245e-06,
|
3245 |
+
"eval_runtime": 2100.1734,
|
3246 |
+
"eval_samples_per_second": 16.456,
|
3247 |
+
"eval_steps_per_second": 4.114,
|
3248 |
+
"step": 21600
|
3249 |
+
},
|
3250 |
+
{
|
3251 |
+
"epoch": 5.0,
|
3252 |
+
"step": 21600,
|
3253 |
+
"total_flos": 2.295560541703184e+19,
|
3254 |
+
"train_loss": 0.003923701412147946,
|
3255 |
+
"train_runtime": 97975.3145,
|
3256 |
+
"train_samples_per_second": 1.764,
|
3257 |
+
"train_steps_per_second": 0.22
|
3258 |
+
}
|
3259 |
+
],
|
3260 |
+
"max_steps": 21600,
|
3261 |
+
"num_train_epochs": 5,
|
3262 |
+
"total_flos": 2.295560541703184e+19,
|
3263 |
+
"trial_name": null,
|
3264 |
+
"trial_params": null
|
3265 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8da190049379dc0c86f08afacac310ba9a1d171b24966f5acc72cd4a34731a05
|
3 |
+
size 2799
|