Model save
Browse files- README.md +68 -0
- all_results.json +9 -0
- generation_config.json +7 -0
- train_results.json +9 -0
- trainer_state.json +869 -0
README.md
ADDED
@@ -0,0 +1,68 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: transformers
|
3 |
+
license: apache-2.0
|
4 |
+
base_model: mistralai/Mistral-7B-v0.3
|
5 |
+
tags:
|
6 |
+
- trl
|
7 |
+
- sft
|
8 |
+
- generated_from_trainer
|
9 |
+
datasets:
|
10 |
+
- generator
|
11 |
+
model-index:
|
12 |
+
- name: mistral-7b-0.3-gpt4o_100k_closedqa-fft
|
13 |
+
results: []
|
14 |
+
---
|
15 |
+
|
16 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
17 |
+
should probably proofread and complete it, then remove this comment. -->
|
18 |
+
|
19 |
+
# mistral-7b-0.3-gpt4o_100k_closedqa-fft
|
20 |
+
|
21 |
+
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the generator dataset.
|
22 |
+
It achieves the following results on the evaluation set:
|
23 |
+
- Loss: 6.9495
|
24 |
+
|
25 |
+
## Model description
|
26 |
+
|
27 |
+
More information needed
|
28 |
+
|
29 |
+
## Intended uses & limitations
|
30 |
+
|
31 |
+
More information needed
|
32 |
+
|
33 |
+
## Training and evaluation data
|
34 |
+
|
35 |
+
More information needed
|
36 |
+
|
37 |
+
## Training procedure
|
38 |
+
|
39 |
+
### Training hyperparameters
|
40 |
+
|
41 |
+
The following hyperparameters were used during training:
|
42 |
+
- learning_rate: 0.0002
|
43 |
+
- train_batch_size: 2
|
44 |
+
- eval_batch_size: 2
|
45 |
+
- seed: 42
|
46 |
+
- distributed_type: multi-GPU
|
47 |
+
- num_devices: 8
|
48 |
+
- gradient_accumulation_steps: 2
|
49 |
+
- total_train_batch_size: 32
|
50 |
+
- total_eval_batch_size: 16
|
51 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
52 |
+
- lr_scheduler_type: cosine
|
53 |
+
- lr_scheduler_warmup_ratio: 0.1
|
54 |
+
- num_epochs: 1
|
55 |
+
|
56 |
+
### Training results
|
57 |
+
|
58 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
59 |
+
|:-------------:|:------:|:----:|:---------------:|
|
60 |
+
| 5.1634 | 0.9991 | 582 | 6.9495 |
|
61 |
+
|
62 |
+
|
63 |
+
### Framework versions
|
64 |
+
|
65 |
+
- Transformers 4.45.1
|
66 |
+
- Pytorch 2.4.1+cu121
|
67 |
+
- Datasets 3.0.1
|
68 |
+
- Tokenizers 0.20.0
|
all_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 0.9991416309012876,
|
3 |
+
"total_flos": 30438567444480.0,
|
4 |
+
"train_loss": 6.936546556728402,
|
5 |
+
"train_runtime": 8521.4757,
|
6 |
+
"train_samples": 111440,
|
7 |
+
"train_samples_per_second": 2.186,
|
8 |
+
"train_steps_per_second": 0.068
|
9 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 32768,
|
4 |
+
"eos_token_id": 32769,
|
5 |
+
"pad_token_id": 32769,
|
6 |
+
"transformers_version": "4.45.1"
|
7 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 0.9991416309012876,
|
3 |
+
"total_flos": 30438567444480.0,
|
4 |
+
"train_loss": 6.936546556728402,
|
5 |
+
"train_runtime": 8521.4757,
|
6 |
+
"train_samples": 111440,
|
7 |
+
"train_samples_per_second": 2.186,
|
8 |
+
"train_steps_per_second": 0.068
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,869 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.9991416309012876,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 582,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0017167381974248926,
|
13 |
+
"grad_norm": 148.37953017406076,
|
14 |
+
"learning_rate": 3.3898305084745763e-06,
|
15 |
+
"loss": 1.4925,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.008583690987124463,
|
20 |
+
"grad_norm": 226.53531287893435,
|
21 |
+
"learning_rate": 1.694915254237288e-05,
|
22 |
+
"loss": 1.8304,
|
23 |
+
"step": 5
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.017167381974248927,
|
27 |
+
"grad_norm": 122.60255331663019,
|
28 |
+
"learning_rate": 3.389830508474576e-05,
|
29 |
+
"loss": 1.6337,
|
30 |
+
"step": 10
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.02575107296137339,
|
34 |
+
"grad_norm": 27.57943216063738,
|
35 |
+
"learning_rate": 5.0847457627118643e-05,
|
36 |
+
"loss": 1.4564,
|
37 |
+
"step": 15
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.034334763948497854,
|
41 |
+
"grad_norm": 68.31876381825991,
|
42 |
+
"learning_rate": 6.779661016949152e-05,
|
43 |
+
"loss": 1.6491,
|
44 |
+
"step": 20
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.04291845493562232,
|
48 |
+
"grad_norm": 34.24629194904229,
|
49 |
+
"learning_rate": 8.474576271186441e-05,
|
50 |
+
"loss": 1.6714,
|
51 |
+
"step": 25
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.05150214592274678,
|
55 |
+
"grad_norm": 392.0670273900377,
|
56 |
+
"learning_rate": 0.00010169491525423729,
|
57 |
+
"loss": 2.8097,
|
58 |
+
"step": 30
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.060085836909871244,
|
62 |
+
"grad_norm": 1460.2154288260613,
|
63 |
+
"learning_rate": 0.00011864406779661017,
|
64 |
+
"loss": 2.2112,
|
65 |
+
"step": 35
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.06866952789699571,
|
69 |
+
"grad_norm": 152.24800163036767,
|
70 |
+
"learning_rate": 0.00013559322033898305,
|
71 |
+
"loss": 1.5475,
|
72 |
+
"step": 40
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.07725321888412018,
|
76 |
+
"grad_norm": 529.4349457912397,
|
77 |
+
"learning_rate": 0.00015254237288135592,
|
78 |
+
"loss": 3.2178,
|
79 |
+
"step": 45
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.08583690987124463,
|
83 |
+
"grad_norm": 740.2750714071109,
|
84 |
+
"learning_rate": 0.00016949152542372882,
|
85 |
+
"loss": 3.7609,
|
86 |
+
"step": 50
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.0944206008583691,
|
90 |
+
"grad_norm": 501.75647987784066,
|
91 |
+
"learning_rate": 0.0001864406779661017,
|
92 |
+
"loss": 5.1663,
|
93 |
+
"step": 55
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.10300429184549356,
|
97 |
+
"grad_norm": 552.7605592699055,
|
98 |
+
"learning_rate": 0.0001999981958814743,
|
99 |
+
"loss": 12.807,
|
100 |
+
"step": 60
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.11158798283261803,
|
104 |
+
"grad_norm": 79.39978511676262,
|
105 |
+
"learning_rate": 0.00019993505856798243,
|
106 |
+
"loss": 15.5599,
|
107 |
+
"step": 65
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.12017167381974249,
|
111 |
+
"grad_norm": 56.78553117050131,
|
112 |
+
"learning_rate": 0.00019978178041451998,
|
113 |
+
"loss": 16.703,
|
114 |
+
"step": 70
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.12875536480686695,
|
118 |
+
"grad_norm": 112.72908285826135,
|
119 |
+
"learning_rate": 0.0001995384996770874,
|
120 |
+
"loss": 15.425,
|
121 |
+
"step": 75
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.13733905579399142,
|
125 |
+
"grad_norm": 442.5710003227928,
|
126 |
+
"learning_rate": 0.000199205435793491,
|
127 |
+
"loss": 31.9561,
|
128 |
+
"step": 80
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.1459227467811159,
|
132 |
+
"grad_norm": 184.54596876342316,
|
133 |
+
"learning_rate": 0.00019878288918541114,
|
134 |
+
"loss": 15.8809,
|
135 |
+
"step": 85
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.15450643776824036,
|
139 |
+
"grad_norm": 347.24694919273804,
|
140 |
+
"learning_rate": 0.00019827124098742394,
|
141 |
+
"loss": 14.7386,
|
142 |
+
"step": 90
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.1630901287553648,
|
146 |
+
"grad_norm": 48.28938306214246,
|
147 |
+
"learning_rate": 0.0001976709527032198,
|
148 |
+
"loss": 17.4369,
|
149 |
+
"step": 95
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.17167381974248927,
|
153 |
+
"grad_norm": 111.82743394628322,
|
154 |
+
"learning_rate": 0.00019698256578933005,
|
155 |
+
"loss": 13.2218,
|
156 |
+
"step": 100
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.18025751072961374,
|
160 |
+
"grad_norm": 266.4352235029355,
|
161 |
+
"learning_rate": 0.00019620670116673604,
|
162 |
+
"loss": 10.8569,
|
163 |
+
"step": 105
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.1888412017167382,
|
167 |
+
"grad_norm": 42.96800119266756,
|
168 |
+
"learning_rate": 0.0001953440586608022,
|
169 |
+
"loss": 9.8788,
|
170 |
+
"step": 110
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.19742489270386265,
|
174 |
+
"grad_norm": 37.647763231857866,
|
175 |
+
"learning_rate": 0.00019439541637003772,
|
176 |
+
"loss": 8.9958,
|
177 |
+
"step": 115
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.20600858369098712,
|
181 |
+
"grad_norm": 20.454288165244996,
|
182 |
+
"learning_rate": 0.00019336162996425597,
|
183 |
+
"loss": 8.1835,
|
184 |
+
"step": 120
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.2145922746781116,
|
188 |
+
"grad_norm": 59.141650986938025,
|
189 |
+
"learning_rate": 0.00019224363191276559,
|
190 |
+
"loss": 8.2297,
|
191 |
+
"step": 125
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.22317596566523606,
|
195 |
+
"grad_norm": 39.88230197372808,
|
196 |
+
"learning_rate": 0.00019104243064328838,
|
197 |
+
"loss": 8.0509,
|
198 |
+
"step": 130
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.2317596566523605,
|
202 |
+
"grad_norm": 27.87553480349785,
|
203 |
+
"learning_rate": 0.00018975910963236366,
|
204 |
+
"loss": 7.7919,
|
205 |
+
"step": 135
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.24034334763948498,
|
209 |
+
"grad_norm": 33.29528319809458,
|
210 |
+
"learning_rate": 0.00018839482642805843,
|
211 |
+
"loss": 7.4218,
|
212 |
+
"step": 140
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.24892703862660945,
|
216 |
+
"grad_norm": 28.706620751101852,
|
217 |
+
"learning_rate": 0.000186950811605866,
|
218 |
+
"loss": 7.3135,
|
219 |
+
"step": 145
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.2575107296137339,
|
223 |
+
"grad_norm": 77.97848200082751,
|
224 |
+
"learning_rate": 0.00018542836765873396,
|
225 |
+
"loss": 7.3272,
|
226 |
+
"step": 150
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.26609442060085836,
|
230 |
+
"grad_norm": 12.617065010078097,
|
231 |
+
"learning_rate": 0.00018382886782222313,
|
232 |
+
"loss": 7.1705,
|
233 |
+
"step": 155
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.27467811158798283,
|
237 |
+
"grad_norm": 9.66255057469759,
|
238 |
+
"learning_rate": 0.00018215375483585726,
|
239 |
+
"loss": 7.152,
|
240 |
+
"step": 160
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.2832618025751073,
|
244 |
+
"grad_norm": 13.81795039749584,
|
245 |
+
"learning_rate": 0.0001804045396417801,
|
246 |
+
"loss": 7.0384,
|
247 |
+
"step": 165
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.2918454935622318,
|
251 |
+
"grad_norm": 10.65607302408338,
|
252 |
+
"learning_rate": 0.0001785828000218947,
|
253 |
+
"loss": 7.1945,
|
254 |
+
"step": 170
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.30042918454935624,
|
258 |
+
"grad_norm": 15.782661016430529,
|
259 |
+
"learning_rate": 0.00017669017917471314,
|
260 |
+
"loss": 7.7122,
|
261 |
+
"step": 175
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.3090128755364807,
|
265 |
+
"grad_norm": 73.67344007196424,
|
266 |
+
"learning_rate": 0.00017472838423320108,
|
267 |
+
"loss": 7.3337,
|
268 |
+
"step": 180
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.31759656652360513,
|
272 |
+
"grad_norm": 14.634220899220917,
|
273 |
+
"learning_rate": 0.0001726991847249539,
|
274 |
+
"loss": 7.6728,
|
275 |
+
"step": 185
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.3261802575107296,
|
279 |
+
"grad_norm": 13.23535439972109,
|
280 |
+
"learning_rate": 0.000170604410976093,
|
281 |
+
"loss": 7.1979,
|
282 |
+
"step": 190
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.33476394849785407,
|
286 |
+
"grad_norm": 15.490178591732896,
|
287 |
+
"learning_rate": 0.00016844595246032234,
|
288 |
+
"loss": 7.4718,
|
289 |
+
"step": 195
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.34334763948497854,
|
293 |
+
"grad_norm": 14.166388152902138,
|
294 |
+
"learning_rate": 0.00016622575609463432,
|
295 |
+
"loss": 7.0926,
|
296 |
+
"step": 200
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.351931330472103,
|
300 |
+
"grad_norm": 7.921484195688758,
|
301 |
+
"learning_rate": 0.00016394582448320163,
|
302 |
+
"loss": 6.9988,
|
303 |
+
"step": 205
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.3605150214592275,
|
307 |
+
"grad_norm": 9.205119757022215,
|
308 |
+
"learning_rate": 0.00016160821411104057,
|
309 |
+
"loss": 6.9226,
|
310 |
+
"step": 210
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.36909871244635195,
|
314 |
+
"grad_norm": 35.99180735659732,
|
315 |
+
"learning_rate": 0.00015921503348907288,
|
316 |
+
"loss": 7.1323,
|
317 |
+
"step": 215
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.3776824034334764,
|
321 |
+
"grad_norm": 11.336602821015093,
|
322 |
+
"learning_rate": 0.00015676844125226178,
|
323 |
+
"loss": 7.1202,
|
324 |
+
"step": 220
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.38626609442060084,
|
328 |
+
"grad_norm": 13.20625274633718,
|
329 |
+
"learning_rate": 0.00015427064421253542,
|
330 |
+
"loss": 7.2282,
|
331 |
+
"step": 225
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.3948497854077253,
|
335 |
+
"grad_norm": 67.29081123770837,
|
336 |
+
"learning_rate": 0.00015172389536825554,
|
337 |
+
"loss": 7.0692,
|
338 |
+
"step": 230
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.4034334763948498,
|
342 |
+
"grad_norm": 11.16921203935729,
|
343 |
+
"learning_rate": 0.00014913049187202613,
|
344 |
+
"loss": 7.0129,
|
345 |
+
"step": 235
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.41201716738197425,
|
349 |
+
"grad_norm": 11.356355094966165,
|
350 |
+
"learning_rate": 0.0001464927729586751,
|
351 |
+
"loss": 6.9715,
|
352 |
+
"step": 240
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.4206008583690987,
|
356 |
+
"grad_norm": 65.02533863066004,
|
357 |
+
"learning_rate": 0.0001438131178352782,
|
358 |
+
"loss": 7.0428,
|
359 |
+
"step": 245
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.4291845493562232,
|
363 |
+
"grad_norm": 8.021375841934983,
|
364 |
+
"learning_rate": 0.000141093943535128,
|
365 |
+
"loss": 6.9865,
|
366 |
+
"step": 250
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.43776824034334766,
|
370 |
+
"grad_norm": 8.30393736182492,
|
371 |
+
"learning_rate": 0.00013833770273758396,
|
372 |
+
"loss": 6.9422,
|
373 |
+
"step": 255
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.44635193133047213,
|
377 |
+
"grad_norm": 10.60254104247866,
|
378 |
+
"learning_rate": 0.00013554688155577012,
|
379 |
+
"loss": 7.0097,
|
380 |
+
"step": 260
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.45493562231759654,
|
384 |
+
"grad_norm": 31.605073666129307,
|
385 |
+
"learning_rate": 0.0001327239972941153,
|
386 |
+
"loss": 6.9863,
|
387 |
+
"step": 265
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.463519313304721,
|
391 |
+
"grad_norm": 8.23597721842936,
|
392 |
+
"learning_rate": 0.00012987159617775952,
|
393 |
+
"loss": 6.9908,
|
394 |
+
"step": 270
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.4721030042918455,
|
398 |
+
"grad_norm": 9.868400148345003,
|
399 |
+
"learning_rate": 0.0001269922510558735,
|
400 |
+
"loss": 6.9117,
|
401 |
+
"step": 275
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.48068669527896996,
|
405 |
+
"grad_norm": 5.852530780039747,
|
406 |
+
"learning_rate": 0.00012408855908096372,
|
407 |
+
"loss": 6.9009,
|
408 |
+
"step": 280
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.4892703862660944,
|
412 |
+
"grad_norm": 5.3374729678346275,
|
413 |
+
"learning_rate": 0.00012116313936625616,
|
414 |
+
"loss": 6.8528,
|
415 |
+
"step": 285
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.4978540772532189,
|
419 |
+
"grad_norm": 5.313298088617677,
|
420 |
+
"learning_rate": 0.00011821863062327142,
|
421 |
+
"loss": 6.8808,
|
422 |
+
"step": 290
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.5064377682403434,
|
426 |
+
"grad_norm": 4.656345284326436,
|
427 |
+
"learning_rate": 0.00011525768878172217,
|
428 |
+
"loss": 6.8471,
|
429 |
+
"step": 295
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.5150214592274678,
|
433 |
+
"grad_norm": 6.2217899411236415,
|
434 |
+
"learning_rate": 0.0001122829845938802,
|
435 |
+
"loss": 6.8989,
|
436 |
+
"step": 300
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.5236051502145923,
|
440 |
+
"grad_norm": 5.068468710318732,
|
441 |
+
"learning_rate": 0.00010929720122557346,
|
442 |
+
"loss": 6.8636,
|
443 |
+
"step": 305
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.5321888412017167,
|
447 |
+
"grad_norm": 4.8062734001678304,
|
448 |
+
"learning_rate": 0.00010630303183598586,
|
449 |
+
"loss": 6.8643,
|
450 |
+
"step": 310
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.5407725321888412,
|
454 |
+
"grad_norm": 4.222058731948505,
|
455 |
+
"learning_rate": 0.00010330317714844382,
|
456 |
+
"loss": 6.8366,
|
457 |
+
"step": 315
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.5493562231759657,
|
461 |
+
"grad_norm": 5.498653200897768,
|
462 |
+
"learning_rate": 0.0001003003430143792,
|
463 |
+
"loss": 6.8438,
|
464 |
+
"step": 320
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.5579399141630901,
|
468 |
+
"grad_norm": 4.606293074529594,
|
469 |
+
"learning_rate": 9.729723797266733e-05,
|
470 |
+
"loss": 6.8435,
|
471 |
+
"step": 325
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.5665236051502146,
|
475 |
+
"grad_norm": 4.094114687291011,
|
476 |
+
"learning_rate": 9.429657080654066e-05,
|
477 |
+
"loss": 6.8383,
|
478 |
+
"step": 330
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.575107296137339,
|
482 |
+
"grad_norm": 4.850653416958559,
|
483 |
+
"learning_rate": 9.130104810028196e-05,
|
484 |
+
"loss": 6.8403,
|
485 |
+
"step": 335
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.5836909871244635,
|
489 |
+
"grad_norm": 3.5962933581788943,
|
490 |
+
"learning_rate": 8.831337179790135e-05,
|
491 |
+
"loss": 6.7696,
|
492 |
+
"step": 340
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.592274678111588,
|
496 |
+
"grad_norm": 4.211863063848454,
|
497 |
+
"learning_rate": 8.533623676599832e-05,
|
498 |
+
"loss": 6.7095,
|
499 |
+
"step": 345
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.6008583690987125,
|
503 |
+
"grad_norm": 2.860326437620046,
|
504 |
+
"learning_rate": 8.237232836300797e-05,
|
505 |
+
"loss": 6.6912,
|
506 |
+
"step": 350
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.6094420600858369,
|
510 |
+
"grad_norm": 8.77242613923949,
|
511 |
+
"learning_rate": 7.94243200170232e-05,
|
512 |
+
"loss": 6.5853,
|
513 |
+
"step": 355
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.6180257510729614,
|
517 |
+
"grad_norm": 6.659382197081032,
|
518 |
+
"learning_rate": 7.649487081437818e-05,
|
519 |
+
"loss": 6.5642,
|
520 |
+
"step": 360
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.6266094420600858,
|
524 |
+
"grad_norm": 10.44433874556097,
|
525 |
+
"learning_rate": 7.358662310116808e-05,
|
526 |
+
"loss": 6.4968,
|
527 |
+
"step": 365
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.6351931330472103,
|
531 |
+
"grad_norm": 6.1233526664383024,
|
532 |
+
"learning_rate": 7.070220009986828e-05,
|
533 |
+
"loss": 6.4142,
|
534 |
+
"step": 370
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.6437768240343348,
|
538 |
+
"grad_norm": 4.045999079298666,
|
539 |
+
"learning_rate": 6.784420354320295e-05,
|
540 |
+
"loss": 6.3996,
|
541 |
+
"step": 375
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.6523605150214592,
|
545 |
+
"grad_norm": 12.756102691389257,
|
546 |
+
"learning_rate": 6.501521132739727e-05,
|
547 |
+
"loss": 6.3766,
|
548 |
+
"step": 380
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.6609442060085837,
|
552 |
+
"grad_norm": 5.067389209546529,
|
553 |
+
"learning_rate": 6.221777518693023e-05,
|
554 |
+
"loss": 6.3331,
|
555 |
+
"step": 385
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.6695278969957081,
|
559 |
+
"grad_norm": 4.587232017547203,
|
560 |
+
"learning_rate": 5.945441839288487e-05,
|
561 |
+
"loss": 6.2912,
|
562 |
+
"step": 390
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.6781115879828327,
|
566 |
+
"grad_norm": 10.154786306342054,
|
567 |
+
"learning_rate": 5.672763347697252e-05,
|
568 |
+
"loss": 6.1986,
|
569 |
+
"step": 395
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.6866952789699571,
|
573 |
+
"grad_norm": 6.356244711188396,
|
574 |
+
"learning_rate": 5.403987998328364e-05,
|
575 |
+
"loss": 6.0784,
|
576 |
+
"step": 400
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.6952789699570815,
|
580 |
+
"grad_norm": 6.256029497303041,
|
581 |
+
"learning_rate": 5.139358224979368e-05,
|
582 |
+
"loss": 6.0875,
|
583 |
+
"step": 405
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.703862660944206,
|
587 |
+
"grad_norm": 6.392716409081631,
|
588 |
+
"learning_rate": 4.8791127221624e-05,
|
589 |
+
"loss": 6.0507,
|
590 |
+
"step": 410
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.7124463519313304,
|
594 |
+
"grad_norm": 4.093689165851618,
|
595 |
+
"learning_rate": 4.62348622980316e-05,
|
596 |
+
"loss": 6.0207,
|
597 |
+
"step": 415
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.721030042918455,
|
601 |
+
"grad_norm": 6.227286133335013,
|
602 |
+
"learning_rate": 4.372709321506848e-05,
|
603 |
+
"loss": 5.9235,
|
604 |
+
"step": 420
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.7296137339055794,
|
608 |
+
"grad_norm": 9.976130870929332,
|
609 |
+
"learning_rate": 4.12700819658212e-05,
|
610 |
+
"loss": 5.8749,
|
611 |
+
"step": 425
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.7381974248927039,
|
615 |
+
"grad_norm": 4.604304131370468,
|
616 |
+
"learning_rate": 3.8866044760106446e-05,
|
617 |
+
"loss": 5.817,
|
618 |
+
"step": 430
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.7467811158798283,
|
622 |
+
"grad_norm": 8.368202258449207,
|
623 |
+
"learning_rate": 3.651715002546251e-05,
|
624 |
+
"loss": 5.7823,
|
625 |
+
"step": 435
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.7553648068669528,
|
629 |
+
"grad_norm": 4.346337001686645,
|
630 |
+
"learning_rate": 3.422551645124048e-05,
|
631 |
+
"loss": 5.7372,
|
632 |
+
"step": 440
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.7639484978540773,
|
636 |
+
"grad_norm": 6.8350119997138306,
|
637 |
+
"learning_rate": 3.199321107755863e-05,
|
638 |
+
"loss": 5.6973,
|
639 |
+
"step": 445
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.7725321888412017,
|
643 |
+
"grad_norm": 4.355909578299472,
|
644 |
+
"learning_rate": 2.9822247430844375e-05,
|
645 |
+
"loss": 5.6349,
|
646 |
+
"step": 450
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.7811158798283262,
|
650 |
+
"grad_norm": 6.751775629287182,
|
651 |
+
"learning_rate": 2.7714583707645247e-05,
|
652 |
+
"loss": 5.5923,
|
653 |
+
"step": 455
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.7896995708154506,
|
657 |
+
"grad_norm": 7.749784220705869,
|
658 |
+
"learning_rate": 2.5672121008346895e-05,
|
659 |
+
"loss": 5.5167,
|
660 |
+
"step": 460
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.7982832618025751,
|
664 |
+
"grad_norm": 10.122654499906968,
|
665 |
+
"learning_rate": 2.369670162239166e-05,
|
666 |
+
"loss": 5.5233,
|
667 |
+
"step": 465
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.8068669527896996,
|
671 |
+
"grad_norm": 13.541428912986023,
|
672 |
+
"learning_rate": 2.1790107366544366e-05,
|
673 |
+
"loss": 5.4574,
|
674 |
+
"step": 470
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.8154506437768241,
|
678 |
+
"grad_norm": 8.344136937270687,
|
679 |
+
"learning_rate": 1.9954057977703776e-05,
|
680 |
+
"loss": 5.4293,
|
681 |
+
"step": 475
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.8240343347639485,
|
685 |
+
"grad_norm": 10.023341035964107,
|
686 |
+
"learning_rate": 1.819020956171017e-05,
|
687 |
+
"loss": 5.4132,
|
688 |
+
"step": 480
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.8326180257510729,
|
692 |
+
"grad_norm": 8.637492625567376,
|
693 |
+
"learning_rate": 1.6500153099547344e-05,
|
694 |
+
"loss": 5.3985,
|
695 |
+
"step": 485
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.8412017167381974,
|
699 |
+
"grad_norm": 7.593060990876112,
|
700 |
+
"learning_rate": 1.4885413012287098e-05,
|
701 |
+
"loss": 5.3591,
|
702 |
+
"step": 490
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.8497854077253219,
|
706 |
+
"grad_norm": 7.293323409290838,
|
707 |
+
"learning_rate": 1.3347445786070456e-05,
|
708 |
+
"loss": 5.3058,
|
709 |
+
"step": 495
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.8583690987124464,
|
713 |
+
"grad_norm": 8.58872146900946,
|
714 |
+
"learning_rate": 1.1887638658365452e-05,
|
715 |
+
"loss": 5.2812,
|
716 |
+
"step": 500
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.8669527896995708,
|
720 |
+
"grad_norm": 10.579607337148637,
|
721 |
+
"learning_rate": 1.0507308366687141e-05,
|
722 |
+
"loss": 5.2935,
|
723 |
+
"step": 505
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.8755364806866953,
|
727 |
+
"grad_norm": 7.796765987218623,
|
728 |
+
"learning_rate": 9.207699960908012e-06,
|
729 |
+
"loss": 5.3239,
|
730 |
+
"step": 510
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.8841201716738197,
|
734 |
+
"grad_norm": 3.845171755230648,
|
735 |
+
"learning_rate": 7.989985680230305e-06,
|
736 |
+
"loss": 5.284,
|
737 |
+
"step": 515
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.8927038626609443,
|
741 |
+
"grad_norm": 3.8997169411441335,
|
742 |
+
"learning_rate": 6.855263895833064e-06,
|
743 |
+
"loss": 5.2478,
|
744 |
+
"step": 520
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.9012875536480687,
|
748 |
+
"grad_norm": 5.516395205208524,
|
749 |
+
"learning_rate": 5.804558120147674e-06,
|
750 |
+
"loss": 5.2356,
|
751 |
+
"step": 525
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.9098712446351931,
|
755 |
+
"grad_norm": 5.160825401670845,
|
756 |
+
"learning_rate": 4.838816083655695e-06,
|
757 |
+
"loss": 5.2529,
|
758 |
+
"step": 530
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.9184549356223176,
|
762 |
+
"grad_norm": 4.170530336706607,
|
763 |
+
"learning_rate": 3.95890888004149e-06,
|
764 |
+
"loss": 5.2019,
|
765 |
+
"step": 535
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.927038626609442,
|
769 |
+
"grad_norm": 4.729325573447989,
|
770 |
+
"learning_rate": 3.165630180470802e-06,
|
771 |
+
"loss": 5.1868,
|
772 |
+
"step": 540
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.9356223175965666,
|
776 |
+
"grad_norm": 4.8268274620539655,
|
777 |
+
"learning_rate": 2.459695517703919e-06,
|
778 |
+
"loss": 5.194,
|
779 |
+
"step": 545
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.944206008583691,
|
783 |
+
"grad_norm": 3.373642611401382,
|
784 |
+
"learning_rate": 1.8417416406894094e-06,
|
785 |
+
"loss": 5.1408,
|
786 |
+
"step": 550
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.9527896995708155,
|
790 |
+
"grad_norm": 2.9560576217055554,
|
791 |
+
"learning_rate": 1.3123259402202048e-06,
|
792 |
+
"loss": 5.1733,
|
793 |
+
"step": 555
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.9613733905579399,
|
797 |
+
"grad_norm": 3.364514157359552,
|
798 |
+
"learning_rate": 8.71925946170371e-07,
|
799 |
+
"loss": 5.1221,
|
800 |
+
"step": 560
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.9699570815450643,
|
804 |
+
"grad_norm": 2.8157940718449845,
|
805 |
+
"learning_rate": 5.209388967659768e-07,
|
806 |
+
"loss": 5.1479,
|
807 |
+
"step": 565
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.9785407725321889,
|
811 |
+
"grad_norm": 3.778011781318662,
|
812 |
+
"learning_rate": 2.596813802785092e-07,
|
813 |
+
"loss": 5.1574,
|
814 |
+
"step": 570
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.9871244635193133,
|
818 |
+
"grad_norm": 3.0834295680511814,
|
819 |
+
"learning_rate": 8.838904946407711e-08,
|
820 |
+
"loss": 5.1232,
|
821 |
+
"step": 575
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.9957081545064378,
|
825 |
+
"grad_norm": 3.298741897550586,
|
826 |
+
"learning_rate": 7.216409006038927e-09,
|
827 |
+
"loss": 5.1634,
|
828 |
+
"step": 580
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.9991416309012876,
|
832 |
+
"eval_loss": 6.949496746063232,
|
833 |
+
"eval_runtime": 2.3831,
|
834 |
+
"eval_samples_per_second": 2.518,
|
835 |
+
"eval_steps_per_second": 0.42,
|
836 |
+
"step": 582
|
837 |
+
},
|
838 |
+
{
|
839 |
+
"epoch": 0.9991416309012876,
|
840 |
+
"step": 582,
|
841 |
+
"total_flos": 30438567444480.0,
|
842 |
+
"train_loss": 6.936546556728402,
|
843 |
+
"train_runtime": 8521.4757,
|
844 |
+
"train_samples_per_second": 2.186,
|
845 |
+
"train_steps_per_second": 0.068
|
846 |
+
}
|
847 |
+
],
|
848 |
+
"logging_steps": 5,
|
849 |
+
"max_steps": 582,
|
850 |
+
"num_input_tokens_seen": 0,
|
851 |
+
"num_train_epochs": 1,
|
852 |
+
"save_steps": 100,
|
853 |
+
"stateful_callbacks": {
|
854 |
+
"TrainerControl": {
|
855 |
+
"args": {
|
856 |
+
"should_epoch_stop": false,
|
857 |
+
"should_evaluate": false,
|
858 |
+
"should_log": false,
|
859 |
+
"should_save": true,
|
860 |
+
"should_training_stop": true
|
861 |
+
},
|
862 |
+
"attributes": {}
|
863 |
+
}
|
864 |
+
},
|
865 |
+
"total_flos": 30438567444480.0,
|
866 |
+
"train_batch_size": 2,
|
867 |
+
"trial_name": null,
|
868 |
+
"trial_params": null
|
869 |
+
}
|