bilkultheek
commited on
Commit
•
16fa3da
1
Parent(s):
0390074
Initial commit
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- README.md +32 -0
- adapter_config.json +21 -0
- adapter_model.bin +3 -0
- checkpoint-10/README.md +32 -0
- checkpoint-10/adapter_config.json +21 -0
- checkpoint-10/adapter_model.bin +3 -0
- checkpoint-10/optimizer.pt +3 -0
- checkpoint-10/rng_state.pth +3 -0
- checkpoint-10/scheduler.pt +3 -0
- checkpoint-10/special_tokens_map.json +24 -0
- checkpoint-10/tokenizer.json +0 -0
- checkpoint-10/tokenizer.model +3 -0
- checkpoint-10/tokenizer_config.json +32 -0
- checkpoint-10/trainer_state.json +76 -0
- checkpoint-10/training_args.bin +3 -0
- checkpoint-100/README.md +32 -0
- checkpoint-100/adapter_config.json +21 -0
- checkpoint-100/adapter_model.bin +3 -0
- checkpoint-100/optimizer.pt +3 -0
- checkpoint-100/rng_state.pth +3 -0
- checkpoint-100/scheduler.pt +3 -0
- checkpoint-100/special_tokens_map.json +24 -0
- checkpoint-100/tokenizer.json +0 -0
- checkpoint-100/tokenizer.model +3 -0
- checkpoint-100/tokenizer_config.json +32 -0
- checkpoint-100/trainer_state.json +616 -0
- checkpoint-100/training_args.bin +3 -0
- checkpoint-110/README.md +32 -0
- checkpoint-110/adapter_config.json +21 -0
- checkpoint-110/adapter_model.bin +3 -0
- checkpoint-110/optimizer.pt +3 -0
- checkpoint-110/rng_state.pth +3 -0
- checkpoint-110/scheduler.pt +3 -0
- checkpoint-110/special_tokens_map.json +24 -0
- checkpoint-110/tokenizer.json +0 -0
- checkpoint-110/tokenizer.model +3 -0
- checkpoint-110/tokenizer_config.json +32 -0
- checkpoint-110/trainer_state.json +676 -0
- checkpoint-110/training_args.bin +3 -0
- checkpoint-120/README.md +32 -0
- checkpoint-120/adapter_config.json +21 -0
- checkpoint-120/adapter_model.bin +3 -0
- checkpoint-120/optimizer.pt +3 -0
- checkpoint-120/rng_state.pth +3 -0
- checkpoint-120/scheduler.pt +3 -0
- checkpoint-120/special_tokens_map.json +24 -0
- checkpoint-120/tokenizer.json +0 -0
- checkpoint-120/tokenizer.model +3 -0
- checkpoint-120/tokenizer_config.json +32 -0
- checkpoint-120/trainer_state.json +736 -0
README.md
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: nf4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float16
|
17 |
+
|
18 |
+
The following `bitsandbytes` quantization config was used during training:
|
19 |
+
- load_in_8bit: False
|
20 |
+
- load_in_4bit: True
|
21 |
+
- llm_int8_threshold: 6.0
|
22 |
+
- llm_int8_skip_modules: None
|
23 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
24 |
+
- llm_int8_has_fp16_weight: False
|
25 |
+
- bnb_4bit_quant_type: nf4
|
26 |
+
- bnb_4bit_use_double_quant: False
|
27 |
+
- bnb_4bit_compute_dtype: float16
|
28 |
+
### Framework versions
|
29 |
+
|
30 |
+
- PEFT 0.4.0
|
31 |
+
|
32 |
+
- PEFT 0.4.0
|
adapter_config.json
ADDED
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "NousResearch/Llama-2-7b-hf",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 16,
|
11 |
+
"lora_dropout": 0.1,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 64,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"q_proj",
|
18 |
+
"v_proj"
|
19 |
+
],
|
20 |
+
"task_type": "CAUSAL_LM"
|
21 |
+
}
|
adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1ddd1f51d53ea52493782b5890ae82655c081143f71afa40fa451c9c46907af5
|
3 |
+
size 134264202
|
checkpoint-10/README.md
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: nf4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float16
|
17 |
+
|
18 |
+
The following `bitsandbytes` quantization config was used during training:
|
19 |
+
- load_in_8bit: False
|
20 |
+
- load_in_4bit: True
|
21 |
+
- llm_int8_threshold: 6.0
|
22 |
+
- llm_int8_skip_modules: None
|
23 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
24 |
+
- llm_int8_has_fp16_weight: False
|
25 |
+
- bnb_4bit_quant_type: nf4
|
26 |
+
- bnb_4bit_use_double_quant: False
|
27 |
+
- bnb_4bit_compute_dtype: float16
|
28 |
+
### Framework versions
|
29 |
+
|
30 |
+
- PEFT 0.4.0
|
31 |
+
|
32 |
+
- PEFT 0.4.0
|
checkpoint-10/adapter_config.json
ADDED
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "NousResearch/Llama-2-7b-hf",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 16,
|
11 |
+
"lora_dropout": 0.1,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 64,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"q_proj",
|
18 |
+
"v_proj"
|
19 |
+
],
|
20 |
+
"task_type": "CAUSAL_LM"
|
21 |
+
}
|
checkpoint-10/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7cbb4f27c39aec9f83d00c03302b114292847690cb3d604f507a1db83659f4a7
|
3 |
+
size 134264202
|
checkpoint-10/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:27f90a1be67ec15b65b5db2191ff12be72ac806e81af5eb5bc75989c0fadb756
|
3 |
+
size 268514874
|
checkpoint-10/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2947a7ffa84ba75982b70f33d80e0e3415512d0cb88dcf5c92b10244c1ff928f
|
3 |
+
size 14244
|
checkpoint-10/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2faeb6bd0391cd9d4474312e78bfe7093dff96875879761063124470dcc35c7a
|
3 |
+
size 1064
|
checkpoint-10/special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": true,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": true,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "</s>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<unk>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": true,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
checkpoint-10/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-10/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
checkpoint-10/tokenizer_config.json
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"__type": "AddedToken",
|
4 |
+
"content": "<s>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": true,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false
|
9 |
+
},
|
10 |
+
"clean_up_tokenization_spaces": false,
|
11 |
+
"eos_token": {
|
12 |
+
"__type": "AddedToken",
|
13 |
+
"content": "</s>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": true,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false
|
18 |
+
},
|
19 |
+
"legacy": false,
|
20 |
+
"model_max_length": 1000000000000000019884624838656,
|
21 |
+
"pad_token": null,
|
22 |
+
"sp_model_kwargs": {},
|
23 |
+
"tokenizer_class": "LlamaTokenizer",
|
24 |
+
"unk_token": {
|
25 |
+
"__type": "AddedToken",
|
26 |
+
"content": "<unk>",
|
27 |
+
"lstrip": false,
|
28 |
+
"normalized": true,
|
29 |
+
"rstrip": false,
|
30 |
+
"single_word": false
|
31 |
+
}
|
32 |
+
}
|
checkpoint-10/trainer_state.json
ADDED
@@ -0,0 +1,76 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.05333333333333334,
|
5 |
+
"global_step": 10,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.01,
|
12 |
+
"learning_rate": 1.1764705882352942e-05,
|
13 |
+
"loss": 1.9122,
|
14 |
+
"step": 1
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.01,
|
18 |
+
"learning_rate": 2.3529411764705884e-05,
|
19 |
+
"loss": 2.0707,
|
20 |
+
"step": 2
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.02,
|
24 |
+
"learning_rate": 3.529411764705883e-05,
|
25 |
+
"loss": 1.9703,
|
26 |
+
"step": 3
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.02,
|
30 |
+
"learning_rate": 4.705882352941177e-05,
|
31 |
+
"loss": 2.015,
|
32 |
+
"step": 4
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.03,
|
36 |
+
"learning_rate": 5.882352941176471e-05,
|
37 |
+
"loss": 2.119,
|
38 |
+
"step": 5
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.03,
|
42 |
+
"learning_rate": 7.058823529411765e-05,
|
43 |
+
"loss": 2.0515,
|
44 |
+
"step": 6
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.04,
|
48 |
+
"learning_rate": 8.23529411764706e-05,
|
49 |
+
"loss": 1.7436,
|
50 |
+
"step": 7
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.04,
|
54 |
+
"learning_rate": 9.411764705882353e-05,
|
55 |
+
"loss": 1.9326,
|
56 |
+
"step": 8
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.05,
|
60 |
+
"learning_rate": 0.00010588235294117647,
|
61 |
+
"loss": 2.0819,
|
62 |
+
"step": 9
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.05,
|
66 |
+
"learning_rate": 0.00011764705882352942,
|
67 |
+
"loss": 1.9965,
|
68 |
+
"step": 10
|
69 |
+
}
|
70 |
+
],
|
71 |
+
"max_steps": 561,
|
72 |
+
"num_train_epochs": 3,
|
73 |
+
"total_flos": 3333258509352960.0,
|
74 |
+
"trial_name": null,
|
75 |
+
"trial_params": null
|
76 |
+
}
|
checkpoint-10/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ca476fdc79c35941e82478278237f98f92b013f5a509b33f355127ad4c6138c4
|
3 |
+
size 4408
|
checkpoint-100/README.md
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: nf4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float16
|
17 |
+
|
18 |
+
The following `bitsandbytes` quantization config was used during training:
|
19 |
+
- load_in_8bit: False
|
20 |
+
- load_in_4bit: True
|
21 |
+
- llm_int8_threshold: 6.0
|
22 |
+
- llm_int8_skip_modules: None
|
23 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
24 |
+
- llm_int8_has_fp16_weight: False
|
25 |
+
- bnb_4bit_quant_type: nf4
|
26 |
+
- bnb_4bit_use_double_quant: False
|
27 |
+
- bnb_4bit_compute_dtype: float16
|
28 |
+
### Framework versions
|
29 |
+
|
30 |
+
- PEFT 0.4.0
|
31 |
+
|
32 |
+
- PEFT 0.4.0
|
checkpoint-100/adapter_config.json
ADDED
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "NousResearch/Llama-2-7b-hf",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 16,
|
11 |
+
"lora_dropout": 0.1,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 64,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"q_proj",
|
18 |
+
"v_proj"
|
19 |
+
],
|
20 |
+
"task_type": "CAUSAL_LM"
|
21 |
+
}
|
checkpoint-100/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f9141291504d87239f91084b18c66bd68daf04f03b48f723f57db46f8afe0c52
|
3 |
+
size 134264202
|
checkpoint-100/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ef6b859cd0b6cdfd0473296f15be3f56e604ac5a032dec8263f254a6bc70cdae
|
3 |
+
size 268514874
|
checkpoint-100/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a91ed4b4f2cc2cebde59f7b92ff14f50e0610282d0e161293ed88422ed8fa903
|
3 |
+
size 14244
|
checkpoint-100/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d009ca03916fe40d05bc0e4fb43ea702d42b628abb299580906c2ed364dfb522
|
3 |
+
size 1064
|
checkpoint-100/special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": true,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": true,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "</s>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<unk>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": true,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
checkpoint-100/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-100/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
checkpoint-100/tokenizer_config.json
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"__type": "AddedToken",
|
4 |
+
"content": "<s>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": true,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false
|
9 |
+
},
|
10 |
+
"clean_up_tokenization_spaces": false,
|
11 |
+
"eos_token": {
|
12 |
+
"__type": "AddedToken",
|
13 |
+
"content": "</s>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": true,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false
|
18 |
+
},
|
19 |
+
"legacy": false,
|
20 |
+
"model_max_length": 1000000000000000019884624838656,
|
21 |
+
"pad_token": null,
|
22 |
+
"sp_model_kwargs": {},
|
23 |
+
"tokenizer_class": "LlamaTokenizer",
|
24 |
+
"unk_token": {
|
25 |
+
"__type": "AddedToken",
|
26 |
+
"content": "<unk>",
|
27 |
+
"lstrip": false,
|
28 |
+
"normalized": true,
|
29 |
+
"rstrip": false,
|
30 |
+
"single_word": false
|
31 |
+
}
|
32 |
+
}
|
checkpoint-100/trainer_state.json
ADDED
@@ -0,0 +1,616 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.5333333333333333,
|
5 |
+
"global_step": 100,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.01,
|
12 |
+
"learning_rate": 1.1764705882352942e-05,
|
13 |
+
"loss": 1.9122,
|
14 |
+
"step": 1
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.01,
|
18 |
+
"learning_rate": 2.3529411764705884e-05,
|
19 |
+
"loss": 2.0707,
|
20 |
+
"step": 2
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.02,
|
24 |
+
"learning_rate": 3.529411764705883e-05,
|
25 |
+
"loss": 1.9703,
|
26 |
+
"step": 3
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.02,
|
30 |
+
"learning_rate": 4.705882352941177e-05,
|
31 |
+
"loss": 2.015,
|
32 |
+
"step": 4
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.03,
|
36 |
+
"learning_rate": 5.882352941176471e-05,
|
37 |
+
"loss": 2.119,
|
38 |
+
"step": 5
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.03,
|
42 |
+
"learning_rate": 7.058823529411765e-05,
|
43 |
+
"loss": 2.0515,
|
44 |
+
"step": 6
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.04,
|
48 |
+
"learning_rate": 8.23529411764706e-05,
|
49 |
+
"loss": 1.7436,
|
50 |
+
"step": 7
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.04,
|
54 |
+
"learning_rate": 9.411764705882353e-05,
|
55 |
+
"loss": 1.9326,
|
56 |
+
"step": 8
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.05,
|
60 |
+
"learning_rate": 0.00010588235294117647,
|
61 |
+
"loss": 2.0819,
|
62 |
+
"step": 9
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.05,
|
66 |
+
"learning_rate": 0.00011764705882352942,
|
67 |
+
"loss": 1.9965,
|
68 |
+
"step": 10
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.06,
|
72 |
+
"learning_rate": 0.00012941176470588237,
|
73 |
+
"loss": 2.0543,
|
74 |
+
"step": 11
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.06,
|
78 |
+
"learning_rate": 0.0001411764705882353,
|
79 |
+
"loss": 2.0461,
|
80 |
+
"step": 12
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.07,
|
84 |
+
"learning_rate": 0.00015294117647058822,
|
85 |
+
"loss": 2.311,
|
86 |
+
"step": 13
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.07,
|
90 |
+
"learning_rate": 0.0001647058823529412,
|
91 |
+
"loss": 1.8447,
|
92 |
+
"step": 14
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.08,
|
96 |
+
"learning_rate": 0.00017647058823529413,
|
97 |
+
"loss": 2.6263,
|
98 |
+
"step": 15
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.09,
|
102 |
+
"learning_rate": 0.00018823529411764707,
|
103 |
+
"loss": 2.6179,
|
104 |
+
"step": 16
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.09,
|
108 |
+
"learning_rate": 0.0002,
|
109 |
+
"loss": 2.535,
|
110 |
+
"step": 17
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.1,
|
114 |
+
"learning_rate": 0.00019999833248118322,
|
115 |
+
"loss": 2.5924,
|
116 |
+
"step": 18
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.1,
|
120 |
+
"learning_rate": 0.00019999332998034514,
|
121 |
+
"loss": 2.3562,
|
122 |
+
"step": 19
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.11,
|
126 |
+
"learning_rate": 0.00019998499266432108,
|
127 |
+
"loss": 2.2352,
|
128 |
+
"step": 20
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.11,
|
132 |
+
"learning_rate": 0.00019997332081116373,
|
133 |
+
"loss": 2.152,
|
134 |
+
"step": 21
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.12,
|
138 |
+
"learning_rate": 0.00019995831481013374,
|
139 |
+
"loss": 2.1149,
|
140 |
+
"step": 22
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.12,
|
144 |
+
"learning_rate": 0.00019993997516168689,
|
145 |
+
"loss": 2.1608,
|
146 |
+
"step": 23
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.13,
|
150 |
+
"learning_rate": 0.0001999183024774573,
|
151 |
+
"loss": 2.1593,
|
152 |
+
"step": 24
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.13,
|
156 |
+
"learning_rate": 0.00019989329748023725,
|
157 |
+
"loss": 2.2774,
|
158 |
+
"step": 25
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.14,
|
162 |
+
"learning_rate": 0.00019986496100395275,
|
163 |
+
"loss": 2.0355,
|
164 |
+
"step": 26
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.14,
|
168 |
+
"learning_rate": 0.00019983329399363598,
|
169 |
+
"loss": 1.9455,
|
170 |
+
"step": 27
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.15,
|
174 |
+
"learning_rate": 0.0001997982975053936,
|
175 |
+
"loss": 2.5648,
|
176 |
+
"step": 28
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.15,
|
180 |
+
"learning_rate": 0.0001997599727063717,
|
181 |
+
"loss": 2.3619,
|
182 |
+
"step": 29
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.16,
|
186 |
+
"learning_rate": 0.00019971832087471676,
|
187 |
+
"loss": 2.0888,
|
188 |
+
"step": 30
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.17,
|
192 |
+
"learning_rate": 0.000199673343399533,
|
193 |
+
"loss": 1.9363,
|
194 |
+
"step": 31
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.17,
|
198 |
+
"learning_rate": 0.00019962504178083618,
|
199 |
+
"loss": 2.0259,
|
200 |
+
"step": 32
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.18,
|
204 |
+
"learning_rate": 0.00019957341762950344,
|
205 |
+
"loss": 1.8482,
|
206 |
+
"step": 33
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.18,
|
210 |
+
"learning_rate": 0.0001995184726672197,
|
211 |
+
"loss": 1.8542,
|
212 |
+
"step": 34
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.19,
|
216 |
+
"learning_rate": 0.0001994602087264201,
|
217 |
+
"loss": 1.9435,
|
218 |
+
"step": 35
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.19,
|
222 |
+
"learning_rate": 0.00019939862775022893,
|
223 |
+
"loss": 1.6559,
|
224 |
+
"step": 36
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.2,
|
228 |
+
"learning_rate": 0.00019933373179239502,
|
229 |
+
"loss": 1.9478,
|
230 |
+
"step": 37
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.2,
|
234 |
+
"learning_rate": 0.0001992655230172229,
|
235 |
+
"loss": 1.9417,
|
236 |
+
"step": 38
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.21,
|
240 |
+
"learning_rate": 0.000199194003699501,
|
241 |
+
"loss": 1.9067,
|
242 |
+
"step": 39
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.21,
|
246 |
+
"learning_rate": 0.00019911917622442537,
|
247 |
+
"loss": 1.6106,
|
248 |
+
"step": 40
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.22,
|
252 |
+
"learning_rate": 0.0001990410430875205,
|
253 |
+
"loss": 1.2742,
|
254 |
+
"step": 41
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.22,
|
258 |
+
"learning_rate": 0.00019895960689455598,
|
259 |
+
"loss": 1.3048,
|
260 |
+
"step": 42
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 0.23,
|
264 |
+
"learning_rate": 0.0001988748703614594,
|
265 |
+
"loss": 1.1847,
|
266 |
+
"step": 43
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 0.23,
|
270 |
+
"learning_rate": 0.00019878683631422605,
|
271 |
+
"loss": 1.1683,
|
272 |
+
"step": 44
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 0.24,
|
276 |
+
"learning_rate": 0.00019869550768882455,
|
277 |
+
"loss": 1.1531,
|
278 |
+
"step": 45
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.25,
|
282 |
+
"learning_rate": 0.00019860088753109896,
|
283 |
+
"loss": 1.1401,
|
284 |
+
"step": 46
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.25,
|
288 |
+
"learning_rate": 0.0001985029789966671,
|
289 |
+
"loss": 1.8959,
|
290 |
+
"step": 47
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.26,
|
294 |
+
"learning_rate": 0.00019840178535081545,
|
295 |
+
"loss": 1.897,
|
296 |
+
"step": 48
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.26,
|
300 |
+
"learning_rate": 0.0001982973099683902,
|
301 |
+
"loss": 1.791,
|
302 |
+
"step": 49
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 0.27,
|
306 |
+
"learning_rate": 0.00019818955633368464,
|
307 |
+
"loss": 1.7451,
|
308 |
+
"step": 50
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 0.27,
|
312 |
+
"learning_rate": 0.00019807852804032305,
|
313 |
+
"loss": 1.8556,
|
314 |
+
"step": 51
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 0.28,
|
318 |
+
"learning_rate": 0.00019796422879114084,
|
319 |
+
"loss": 1.7882,
|
320 |
+
"step": 52
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 0.28,
|
324 |
+
"learning_rate": 0.0001978466623980609,
|
325 |
+
"loss": 1.8834,
|
326 |
+
"step": 53
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 0.29,
|
330 |
+
"learning_rate": 0.00019772583278196678,
|
331 |
+
"loss": 1.7593,
|
332 |
+
"step": 54
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.29,
|
336 |
+
"learning_rate": 0.00019760174397257156,
|
337 |
+
"loss": 1.8291,
|
338 |
+
"step": 55
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.3,
|
342 |
+
"learning_rate": 0.00019747440010828383,
|
343 |
+
"loss": 1.808,
|
344 |
+
"step": 56
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 0.3,
|
348 |
+
"learning_rate": 0.0001973438054360693,
|
349 |
+
"loss": 1.6324,
|
350 |
+
"step": 57
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 0.31,
|
354 |
+
"learning_rate": 0.00019720996431130946,
|
355 |
+
"loss": 1.483,
|
356 |
+
"step": 58
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 0.31,
|
360 |
+
"learning_rate": 0.00019707288119765623,
|
361 |
+
"loss": 1.9648,
|
362 |
+
"step": 59
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 0.32,
|
366 |
+
"learning_rate": 0.000196932560666883,
|
367 |
+
"loss": 1.5742,
|
368 |
+
"step": 60
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 0.33,
|
372 |
+
"learning_rate": 0.00019678900739873226,
|
373 |
+
"loss": 1.7066,
|
374 |
+
"step": 61
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.33,
|
378 |
+
"learning_rate": 0.00019664222618075958,
|
379 |
+
"loss": 2.0719,
|
380 |
+
"step": 62
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.34,
|
384 |
+
"learning_rate": 0.0001964922219081738,
|
385 |
+
"loss": 1.9432,
|
386 |
+
"step": 63
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 0.34,
|
390 |
+
"learning_rate": 0.00019633899958367384,
|
391 |
+
"loss": 1.7979,
|
392 |
+
"step": 64
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 0.35,
|
396 |
+
"learning_rate": 0.00019618256431728194,
|
397 |
+
"loss": 1.6286,
|
398 |
+
"step": 65
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 0.35,
|
402 |
+
"learning_rate": 0.000196022921326173,
|
403 |
+
"loss": 1.6031,
|
404 |
+
"step": 66
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 0.36,
|
408 |
+
"learning_rate": 0.00019586007593450097,
|
409 |
+
"loss": 1.5169,
|
410 |
+
"step": 67
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 0.36,
|
414 |
+
"learning_rate": 0.0001956940335732209,
|
415 |
+
"loss": 1.5923,
|
416 |
+
"step": 68
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.37,
|
420 |
+
"learning_rate": 0.000195524799779908,
|
421 |
+
"loss": 1.6123,
|
422 |
+
"step": 69
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.37,
|
426 |
+
"learning_rate": 0.000195352380198573,
|
427 |
+
"loss": 1.7392,
|
428 |
+
"step": 70
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 0.38,
|
432 |
+
"learning_rate": 0.00019517678057947384,
|
433 |
+
"loss": 1.6406,
|
434 |
+
"step": 71
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 0.38,
|
438 |
+
"learning_rate": 0.00019499800677892385,
|
439 |
+
"loss": 1.5532,
|
440 |
+
"step": 72
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 0.39,
|
444 |
+
"learning_rate": 0.0001948160647590966,
|
445 |
+
"loss": 1.816,
|
446 |
+
"step": 73
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 0.39,
|
450 |
+
"learning_rate": 0.0001946309605878269,
|
451 |
+
"loss": 1.5759,
|
452 |
+
"step": 74
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 0.4,
|
456 |
+
"learning_rate": 0.00019444270043840852,
|
457 |
+
"loss": 1.6726,
|
458 |
+
"step": 75
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.41,
|
462 |
+
"learning_rate": 0.00019425129058938832,
|
463 |
+
"loss": 1.6134,
|
464 |
+
"step": 76
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.41,
|
468 |
+
"learning_rate": 0.00019405673742435678,
|
469 |
+
"loss": 1.6285,
|
470 |
+
"step": 77
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 0.42,
|
474 |
+
"learning_rate": 0.00019385904743173516,
|
475 |
+
"loss": 1.6023,
|
476 |
+
"step": 78
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 0.42,
|
480 |
+
"learning_rate": 0.00019365822720455916,
|
481 |
+
"loss": 1.5177,
|
482 |
+
"step": 79
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 0.43,
|
486 |
+
"learning_rate": 0.00019345428344025883,
|
487 |
+
"loss": 1.5413,
|
488 |
+
"step": 80
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 0.43,
|
492 |
+
"learning_rate": 0.00019324722294043558,
|
493 |
+
"loss": 1.3404,
|
494 |
+
"step": 81
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 0.44,
|
498 |
+
"learning_rate": 0.00019303705261063497,
|
499 |
+
"loss": 1.6409,
|
500 |
+
"step": 82
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 0.44,
|
504 |
+
"learning_rate": 0.00019282377946011652,
|
505 |
+
"loss": 1.6361,
|
506 |
+
"step": 83
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.45,
|
510 |
+
"learning_rate": 0.00019260741060162016,
|
511 |
+
"loss": 1.4902,
|
512 |
+
"step": 84
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 0.45,
|
516 |
+
"learning_rate": 0.0001923879532511287,
|
517 |
+
"loss": 1.3232,
|
518 |
+
"step": 85
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 0.46,
|
522 |
+
"learning_rate": 0.00019216541472762735,
|
523 |
+
"loss": 1.2438,
|
524 |
+
"step": 86
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 0.46,
|
528 |
+
"learning_rate": 0.00019193980245285966,
|
529 |
+
"loss": 1.0828,
|
530 |
+
"step": 87
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 0.47,
|
534 |
+
"learning_rate": 0.00019171112395107985,
|
535 |
+
"loss": 1.0696,
|
536 |
+
"step": 88
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 0.47,
|
540 |
+
"learning_rate": 0.0001914793868488021,
|
541 |
+
"loss": 1.0179,
|
542 |
+
"step": 89
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 0.48,
|
546 |
+
"learning_rate": 0.0001912445988745459,
|
547 |
+
"loss": 1.0012,
|
548 |
+
"step": 90
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.49,
|
552 |
+
"learning_rate": 0.0001910067678585786,
|
553 |
+
"loss": 0.9423,
|
554 |
+
"step": 91
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 0.49,
|
558 |
+
"learning_rate": 0.00019076590173265406,
|
559 |
+
"loss": 0.9173,
|
560 |
+
"step": 92
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 0.5,
|
564 |
+
"learning_rate": 0.00019052200852974819,
|
565 |
+
"loss": 1.8901,
|
566 |
+
"step": 93
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 0.5,
|
570 |
+
"learning_rate": 0.0001902750963837912,
|
571 |
+
"loss": 1.9665,
|
572 |
+
"step": 94
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 0.51,
|
576 |
+
"learning_rate": 0.00019002517352939598,
|
577 |
+
"loss": 1.8323,
|
578 |
+
"step": 95
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 0.51,
|
582 |
+
"learning_rate": 0.0001897722483015838,
|
583 |
+
"loss": 1.7828,
|
584 |
+
"step": 96
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 0.52,
|
588 |
+
"learning_rate": 0.00018951632913550626,
|
589 |
+
"loss": 1.5083,
|
590 |
+
"step": 97
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.52,
|
594 |
+
"learning_rate": 0.00018925742456616374,
|
595 |
+
"loss": 1.6924,
|
596 |
+
"step": 98
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 0.53,
|
600 |
+
"learning_rate": 0.0001889955432281212,
|
601 |
+
"loss": 1.7446,
|
602 |
+
"step": 99
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 0.53,
|
606 |
+
"learning_rate": 0.0001887306938552197,
|
607 |
+
"loss": 1.6143,
|
608 |
+
"step": 100
|
609 |
+
}
|
610 |
+
],
|
611 |
+
"max_steps": 561,
|
612 |
+
"num_train_epochs": 3,
|
613 |
+
"total_flos": 1.932234765631488e+16,
|
614 |
+
"trial_name": null,
|
615 |
+
"trial_params": null
|
616 |
+
}
|
checkpoint-100/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ca476fdc79c35941e82478278237f98f92b013f5a509b33f355127ad4c6138c4
|
3 |
+
size 4408
|
checkpoint-110/README.md
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: nf4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float16
|
17 |
+
|
18 |
+
The following `bitsandbytes` quantization config was used during training:
|
19 |
+
- load_in_8bit: False
|
20 |
+
- load_in_4bit: True
|
21 |
+
- llm_int8_threshold: 6.0
|
22 |
+
- llm_int8_skip_modules: None
|
23 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
24 |
+
- llm_int8_has_fp16_weight: False
|
25 |
+
- bnb_4bit_quant_type: nf4
|
26 |
+
- bnb_4bit_use_double_quant: False
|
27 |
+
- bnb_4bit_compute_dtype: float16
|
28 |
+
### Framework versions
|
29 |
+
|
30 |
+
- PEFT 0.4.0
|
31 |
+
|
32 |
+
- PEFT 0.4.0
|
checkpoint-110/adapter_config.json
ADDED
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "NousResearch/Llama-2-7b-hf",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 16,
|
11 |
+
"lora_dropout": 0.1,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 64,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"q_proj",
|
18 |
+
"v_proj"
|
19 |
+
],
|
20 |
+
"task_type": "CAUSAL_LM"
|
21 |
+
}
|
checkpoint-110/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4ab160a4a76d4a34ffec9bbbcda7002e160774989aa00d679bd80bc9fd86dee0
|
3 |
+
size 134264202
|
checkpoint-110/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7d265ef055c4e924feedbf425eea28fdb94b03453389e9b6cc5f9c08742dda1d
|
3 |
+
size 268514874
|
checkpoint-110/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f13f32f8aa164ffd1b7bde3b1300845eb4e5ff1261fa4d6b2a28fbbd9f352e72
|
3 |
+
size 14244
|
checkpoint-110/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ff9cebed4b84c4a10fa2a0b09dd590879ae33916425f0e7ff878ab3107234ceb
|
3 |
+
size 1064
|
checkpoint-110/special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": true,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": true,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "</s>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<unk>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": true,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
checkpoint-110/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-110/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
checkpoint-110/tokenizer_config.json
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"__type": "AddedToken",
|
4 |
+
"content": "<s>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": true,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false
|
9 |
+
},
|
10 |
+
"clean_up_tokenization_spaces": false,
|
11 |
+
"eos_token": {
|
12 |
+
"__type": "AddedToken",
|
13 |
+
"content": "</s>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": true,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false
|
18 |
+
},
|
19 |
+
"legacy": false,
|
20 |
+
"model_max_length": 1000000000000000019884624838656,
|
21 |
+
"pad_token": null,
|
22 |
+
"sp_model_kwargs": {},
|
23 |
+
"tokenizer_class": "LlamaTokenizer",
|
24 |
+
"unk_token": {
|
25 |
+
"__type": "AddedToken",
|
26 |
+
"content": "<unk>",
|
27 |
+
"lstrip": false,
|
28 |
+
"normalized": true,
|
29 |
+
"rstrip": false,
|
30 |
+
"single_word": false
|
31 |
+
}
|
32 |
+
}
|
checkpoint-110/trainer_state.json
ADDED
@@ -0,0 +1,676 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.5866666666666667,
|
5 |
+
"global_step": 110,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.01,
|
12 |
+
"learning_rate": 1.1764705882352942e-05,
|
13 |
+
"loss": 1.9122,
|
14 |
+
"step": 1
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.01,
|
18 |
+
"learning_rate": 2.3529411764705884e-05,
|
19 |
+
"loss": 2.0707,
|
20 |
+
"step": 2
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.02,
|
24 |
+
"learning_rate": 3.529411764705883e-05,
|
25 |
+
"loss": 1.9703,
|
26 |
+
"step": 3
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.02,
|
30 |
+
"learning_rate": 4.705882352941177e-05,
|
31 |
+
"loss": 2.015,
|
32 |
+
"step": 4
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.03,
|
36 |
+
"learning_rate": 5.882352941176471e-05,
|
37 |
+
"loss": 2.119,
|
38 |
+
"step": 5
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.03,
|
42 |
+
"learning_rate": 7.058823529411765e-05,
|
43 |
+
"loss": 2.0515,
|
44 |
+
"step": 6
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.04,
|
48 |
+
"learning_rate": 8.23529411764706e-05,
|
49 |
+
"loss": 1.7436,
|
50 |
+
"step": 7
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.04,
|
54 |
+
"learning_rate": 9.411764705882353e-05,
|
55 |
+
"loss": 1.9326,
|
56 |
+
"step": 8
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.05,
|
60 |
+
"learning_rate": 0.00010588235294117647,
|
61 |
+
"loss": 2.0819,
|
62 |
+
"step": 9
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.05,
|
66 |
+
"learning_rate": 0.00011764705882352942,
|
67 |
+
"loss": 1.9965,
|
68 |
+
"step": 10
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.06,
|
72 |
+
"learning_rate": 0.00012941176470588237,
|
73 |
+
"loss": 2.0543,
|
74 |
+
"step": 11
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.06,
|
78 |
+
"learning_rate": 0.0001411764705882353,
|
79 |
+
"loss": 2.0461,
|
80 |
+
"step": 12
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.07,
|
84 |
+
"learning_rate": 0.00015294117647058822,
|
85 |
+
"loss": 2.311,
|
86 |
+
"step": 13
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.07,
|
90 |
+
"learning_rate": 0.0001647058823529412,
|
91 |
+
"loss": 1.8447,
|
92 |
+
"step": 14
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.08,
|
96 |
+
"learning_rate": 0.00017647058823529413,
|
97 |
+
"loss": 2.6263,
|
98 |
+
"step": 15
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.09,
|
102 |
+
"learning_rate": 0.00018823529411764707,
|
103 |
+
"loss": 2.6179,
|
104 |
+
"step": 16
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.09,
|
108 |
+
"learning_rate": 0.0002,
|
109 |
+
"loss": 2.535,
|
110 |
+
"step": 17
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.1,
|
114 |
+
"learning_rate": 0.00019999833248118322,
|
115 |
+
"loss": 2.5924,
|
116 |
+
"step": 18
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.1,
|
120 |
+
"learning_rate": 0.00019999332998034514,
|
121 |
+
"loss": 2.3562,
|
122 |
+
"step": 19
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.11,
|
126 |
+
"learning_rate": 0.00019998499266432108,
|
127 |
+
"loss": 2.2352,
|
128 |
+
"step": 20
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.11,
|
132 |
+
"learning_rate": 0.00019997332081116373,
|
133 |
+
"loss": 2.152,
|
134 |
+
"step": 21
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.12,
|
138 |
+
"learning_rate": 0.00019995831481013374,
|
139 |
+
"loss": 2.1149,
|
140 |
+
"step": 22
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.12,
|
144 |
+
"learning_rate": 0.00019993997516168689,
|
145 |
+
"loss": 2.1608,
|
146 |
+
"step": 23
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.13,
|
150 |
+
"learning_rate": 0.0001999183024774573,
|
151 |
+
"loss": 2.1593,
|
152 |
+
"step": 24
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.13,
|
156 |
+
"learning_rate": 0.00019989329748023725,
|
157 |
+
"loss": 2.2774,
|
158 |
+
"step": 25
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.14,
|
162 |
+
"learning_rate": 0.00019986496100395275,
|
163 |
+
"loss": 2.0355,
|
164 |
+
"step": 26
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.14,
|
168 |
+
"learning_rate": 0.00019983329399363598,
|
169 |
+
"loss": 1.9455,
|
170 |
+
"step": 27
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.15,
|
174 |
+
"learning_rate": 0.0001997982975053936,
|
175 |
+
"loss": 2.5648,
|
176 |
+
"step": 28
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.15,
|
180 |
+
"learning_rate": 0.0001997599727063717,
|
181 |
+
"loss": 2.3619,
|
182 |
+
"step": 29
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.16,
|
186 |
+
"learning_rate": 0.00019971832087471676,
|
187 |
+
"loss": 2.0888,
|
188 |
+
"step": 30
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.17,
|
192 |
+
"learning_rate": 0.000199673343399533,
|
193 |
+
"loss": 1.9363,
|
194 |
+
"step": 31
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.17,
|
198 |
+
"learning_rate": 0.00019962504178083618,
|
199 |
+
"loss": 2.0259,
|
200 |
+
"step": 32
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.18,
|
204 |
+
"learning_rate": 0.00019957341762950344,
|
205 |
+
"loss": 1.8482,
|
206 |
+
"step": 33
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.18,
|
210 |
+
"learning_rate": 0.0001995184726672197,
|
211 |
+
"loss": 1.8542,
|
212 |
+
"step": 34
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.19,
|
216 |
+
"learning_rate": 0.0001994602087264201,
|
217 |
+
"loss": 1.9435,
|
218 |
+
"step": 35
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.19,
|
222 |
+
"learning_rate": 0.00019939862775022893,
|
223 |
+
"loss": 1.6559,
|
224 |
+
"step": 36
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.2,
|
228 |
+
"learning_rate": 0.00019933373179239502,
|
229 |
+
"loss": 1.9478,
|
230 |
+
"step": 37
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.2,
|
234 |
+
"learning_rate": 0.0001992655230172229,
|
235 |
+
"loss": 1.9417,
|
236 |
+
"step": 38
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.21,
|
240 |
+
"learning_rate": 0.000199194003699501,
|
241 |
+
"loss": 1.9067,
|
242 |
+
"step": 39
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.21,
|
246 |
+
"learning_rate": 0.00019911917622442537,
|
247 |
+
"loss": 1.6106,
|
248 |
+
"step": 40
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.22,
|
252 |
+
"learning_rate": 0.0001990410430875205,
|
253 |
+
"loss": 1.2742,
|
254 |
+
"step": 41
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.22,
|
258 |
+
"learning_rate": 0.00019895960689455598,
|
259 |
+
"loss": 1.3048,
|
260 |
+
"step": 42
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 0.23,
|
264 |
+
"learning_rate": 0.0001988748703614594,
|
265 |
+
"loss": 1.1847,
|
266 |
+
"step": 43
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 0.23,
|
270 |
+
"learning_rate": 0.00019878683631422605,
|
271 |
+
"loss": 1.1683,
|
272 |
+
"step": 44
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 0.24,
|
276 |
+
"learning_rate": 0.00019869550768882455,
|
277 |
+
"loss": 1.1531,
|
278 |
+
"step": 45
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.25,
|
282 |
+
"learning_rate": 0.00019860088753109896,
|
283 |
+
"loss": 1.1401,
|
284 |
+
"step": 46
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.25,
|
288 |
+
"learning_rate": 0.0001985029789966671,
|
289 |
+
"loss": 1.8959,
|
290 |
+
"step": 47
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.26,
|
294 |
+
"learning_rate": 0.00019840178535081545,
|
295 |
+
"loss": 1.897,
|
296 |
+
"step": 48
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.26,
|
300 |
+
"learning_rate": 0.0001982973099683902,
|
301 |
+
"loss": 1.791,
|
302 |
+
"step": 49
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 0.27,
|
306 |
+
"learning_rate": 0.00019818955633368464,
|
307 |
+
"loss": 1.7451,
|
308 |
+
"step": 50
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 0.27,
|
312 |
+
"learning_rate": 0.00019807852804032305,
|
313 |
+
"loss": 1.8556,
|
314 |
+
"step": 51
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 0.28,
|
318 |
+
"learning_rate": 0.00019796422879114084,
|
319 |
+
"loss": 1.7882,
|
320 |
+
"step": 52
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 0.28,
|
324 |
+
"learning_rate": 0.0001978466623980609,
|
325 |
+
"loss": 1.8834,
|
326 |
+
"step": 53
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 0.29,
|
330 |
+
"learning_rate": 0.00019772583278196678,
|
331 |
+
"loss": 1.7593,
|
332 |
+
"step": 54
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.29,
|
336 |
+
"learning_rate": 0.00019760174397257156,
|
337 |
+
"loss": 1.8291,
|
338 |
+
"step": 55
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.3,
|
342 |
+
"learning_rate": 0.00019747440010828383,
|
343 |
+
"loss": 1.808,
|
344 |
+
"step": 56
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 0.3,
|
348 |
+
"learning_rate": 0.0001973438054360693,
|
349 |
+
"loss": 1.6324,
|
350 |
+
"step": 57
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 0.31,
|
354 |
+
"learning_rate": 0.00019720996431130946,
|
355 |
+
"loss": 1.483,
|
356 |
+
"step": 58
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 0.31,
|
360 |
+
"learning_rate": 0.00019707288119765623,
|
361 |
+
"loss": 1.9648,
|
362 |
+
"step": 59
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 0.32,
|
366 |
+
"learning_rate": 0.000196932560666883,
|
367 |
+
"loss": 1.5742,
|
368 |
+
"step": 60
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 0.33,
|
372 |
+
"learning_rate": 0.00019678900739873226,
|
373 |
+
"loss": 1.7066,
|
374 |
+
"step": 61
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.33,
|
378 |
+
"learning_rate": 0.00019664222618075958,
|
379 |
+
"loss": 2.0719,
|
380 |
+
"step": 62
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.34,
|
384 |
+
"learning_rate": 0.0001964922219081738,
|
385 |
+
"loss": 1.9432,
|
386 |
+
"step": 63
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 0.34,
|
390 |
+
"learning_rate": 0.00019633899958367384,
|
391 |
+
"loss": 1.7979,
|
392 |
+
"step": 64
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 0.35,
|
396 |
+
"learning_rate": 0.00019618256431728194,
|
397 |
+
"loss": 1.6286,
|
398 |
+
"step": 65
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 0.35,
|
402 |
+
"learning_rate": 0.000196022921326173,
|
403 |
+
"loss": 1.6031,
|
404 |
+
"step": 66
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 0.36,
|
408 |
+
"learning_rate": 0.00019586007593450097,
|
409 |
+
"loss": 1.5169,
|
410 |
+
"step": 67
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 0.36,
|
414 |
+
"learning_rate": 0.0001956940335732209,
|
415 |
+
"loss": 1.5923,
|
416 |
+
"step": 68
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.37,
|
420 |
+
"learning_rate": 0.000195524799779908,
|
421 |
+
"loss": 1.6123,
|
422 |
+
"step": 69
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.37,
|
426 |
+
"learning_rate": 0.000195352380198573,
|
427 |
+
"loss": 1.7392,
|
428 |
+
"step": 70
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 0.38,
|
432 |
+
"learning_rate": 0.00019517678057947384,
|
433 |
+
"loss": 1.6406,
|
434 |
+
"step": 71
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 0.38,
|
438 |
+
"learning_rate": 0.00019499800677892385,
|
439 |
+
"loss": 1.5532,
|
440 |
+
"step": 72
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 0.39,
|
444 |
+
"learning_rate": 0.0001948160647590966,
|
445 |
+
"loss": 1.816,
|
446 |
+
"step": 73
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 0.39,
|
450 |
+
"learning_rate": 0.0001946309605878269,
|
451 |
+
"loss": 1.5759,
|
452 |
+
"step": 74
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 0.4,
|
456 |
+
"learning_rate": 0.00019444270043840852,
|
457 |
+
"loss": 1.6726,
|
458 |
+
"step": 75
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.41,
|
462 |
+
"learning_rate": 0.00019425129058938832,
|
463 |
+
"loss": 1.6134,
|
464 |
+
"step": 76
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.41,
|
468 |
+
"learning_rate": 0.00019405673742435678,
|
469 |
+
"loss": 1.6285,
|
470 |
+
"step": 77
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 0.42,
|
474 |
+
"learning_rate": 0.00019385904743173516,
|
475 |
+
"loss": 1.6023,
|
476 |
+
"step": 78
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 0.42,
|
480 |
+
"learning_rate": 0.00019365822720455916,
|
481 |
+
"loss": 1.5177,
|
482 |
+
"step": 79
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 0.43,
|
486 |
+
"learning_rate": 0.00019345428344025883,
|
487 |
+
"loss": 1.5413,
|
488 |
+
"step": 80
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 0.43,
|
492 |
+
"learning_rate": 0.00019324722294043558,
|
493 |
+
"loss": 1.3404,
|
494 |
+
"step": 81
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 0.44,
|
498 |
+
"learning_rate": 0.00019303705261063497,
|
499 |
+
"loss": 1.6409,
|
500 |
+
"step": 82
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 0.44,
|
504 |
+
"learning_rate": 0.00019282377946011652,
|
505 |
+
"loss": 1.6361,
|
506 |
+
"step": 83
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.45,
|
510 |
+
"learning_rate": 0.00019260741060162016,
|
511 |
+
"loss": 1.4902,
|
512 |
+
"step": 84
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 0.45,
|
516 |
+
"learning_rate": 0.0001923879532511287,
|
517 |
+
"loss": 1.3232,
|
518 |
+
"step": 85
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 0.46,
|
522 |
+
"learning_rate": 0.00019216541472762735,
|
523 |
+
"loss": 1.2438,
|
524 |
+
"step": 86
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 0.46,
|
528 |
+
"learning_rate": 0.00019193980245285966,
|
529 |
+
"loss": 1.0828,
|
530 |
+
"step": 87
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 0.47,
|
534 |
+
"learning_rate": 0.00019171112395107985,
|
535 |
+
"loss": 1.0696,
|
536 |
+
"step": 88
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 0.47,
|
540 |
+
"learning_rate": 0.0001914793868488021,
|
541 |
+
"loss": 1.0179,
|
542 |
+
"step": 89
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 0.48,
|
546 |
+
"learning_rate": 0.0001912445988745459,
|
547 |
+
"loss": 1.0012,
|
548 |
+
"step": 90
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.49,
|
552 |
+
"learning_rate": 0.0001910067678585786,
|
553 |
+
"loss": 0.9423,
|
554 |
+
"step": 91
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 0.49,
|
558 |
+
"learning_rate": 0.00019076590173265406,
|
559 |
+
"loss": 0.9173,
|
560 |
+
"step": 92
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 0.5,
|
564 |
+
"learning_rate": 0.00019052200852974819,
|
565 |
+
"loss": 1.8901,
|
566 |
+
"step": 93
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 0.5,
|
570 |
+
"learning_rate": 0.0001902750963837912,
|
571 |
+
"loss": 1.9665,
|
572 |
+
"step": 94
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 0.51,
|
576 |
+
"learning_rate": 0.00019002517352939598,
|
577 |
+
"loss": 1.8323,
|
578 |
+
"step": 95
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 0.51,
|
582 |
+
"learning_rate": 0.0001897722483015838,
|
583 |
+
"loss": 1.7828,
|
584 |
+
"step": 96
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 0.52,
|
588 |
+
"learning_rate": 0.00018951632913550626,
|
589 |
+
"loss": 1.5083,
|
590 |
+
"step": 97
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.52,
|
594 |
+
"learning_rate": 0.00018925742456616374,
|
595 |
+
"loss": 1.6924,
|
596 |
+
"step": 98
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 0.53,
|
600 |
+
"learning_rate": 0.0001889955432281212,
|
601 |
+
"loss": 1.7446,
|
602 |
+
"step": 99
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 0.53,
|
606 |
+
"learning_rate": 0.0001887306938552197,
|
607 |
+
"loss": 1.6143,
|
608 |
+
"step": 100
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 0.54,
|
612 |
+
"learning_rate": 0.00018846288528028555,
|
613 |
+
"loss": 1.5013,
|
614 |
+
"step": 101
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 0.54,
|
618 |
+
"learning_rate": 0.0001881921264348355,
|
619 |
+
"loss": 1.6335,
|
620 |
+
"step": 102
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 0.55,
|
624 |
+
"learning_rate": 0.00018791842634877898,
|
625 |
+
"loss": 1.5852,
|
626 |
+
"step": 103
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 0.55,
|
630 |
+
"learning_rate": 0.00018764179415011682,
|
631 |
+
"loss": 1.4358,
|
632 |
+
"step": 104
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.56,
|
636 |
+
"learning_rate": 0.00018736223906463696,
|
637 |
+
"loss": 1.7103,
|
638 |
+
"step": 105
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 0.57,
|
642 |
+
"learning_rate": 0.0001870797704156067,
|
643 |
+
"loss": 1.3361,
|
644 |
+
"step": 106
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 0.57,
|
648 |
+
"learning_rate": 0.00018679439762346185,
|
649 |
+
"loss": 1.7021,
|
650 |
+
"step": 107
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 0.58,
|
654 |
+
"learning_rate": 0.00018650613020549232,
|
655 |
+
"loss": 2.3076,
|
656 |
+
"step": 108
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 0.58,
|
660 |
+
"learning_rate": 0.00018621497777552507,
|
661 |
+
"loss": 1.6109,
|
662 |
+
"step": 109
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 0.59,
|
666 |
+
"learning_rate": 0.00018592095004360318,
|
667 |
+
"loss": 1.8032,
|
668 |
+
"step": 110
|
669 |
+
}
|
670 |
+
],
|
671 |
+
"max_steps": 561,
|
672 |
+
"num_train_epochs": 3,
|
673 |
+
"total_flos": 2.197088917291008e+16,
|
674 |
+
"trial_name": null,
|
675 |
+
"trial_params": null
|
676 |
+
}
|
checkpoint-110/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ca476fdc79c35941e82478278237f98f92b013f5a509b33f355127ad4c6138c4
|
3 |
+
size 4408
|
checkpoint-120/README.md
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: nf4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float16
|
17 |
+
|
18 |
+
The following `bitsandbytes` quantization config was used during training:
|
19 |
+
- load_in_8bit: False
|
20 |
+
- load_in_4bit: True
|
21 |
+
- llm_int8_threshold: 6.0
|
22 |
+
- llm_int8_skip_modules: None
|
23 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
24 |
+
- llm_int8_has_fp16_weight: False
|
25 |
+
- bnb_4bit_quant_type: nf4
|
26 |
+
- bnb_4bit_use_double_quant: False
|
27 |
+
- bnb_4bit_compute_dtype: float16
|
28 |
+
### Framework versions
|
29 |
+
|
30 |
+
- PEFT 0.4.0
|
31 |
+
|
32 |
+
- PEFT 0.4.0
|
checkpoint-120/adapter_config.json
ADDED
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "NousResearch/Llama-2-7b-hf",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 16,
|
11 |
+
"lora_dropout": 0.1,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 64,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"q_proj",
|
18 |
+
"v_proj"
|
19 |
+
],
|
20 |
+
"task_type": "CAUSAL_LM"
|
21 |
+
}
|
checkpoint-120/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5f63b18c360ef434241c46077438e856ee40767edea3f3ef136502e81622c7e8
|
3 |
+
size 134264202
|
checkpoint-120/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:743ae5cb13f6c4bc0acf827c572b3f52dbcf3261520bc97b97f7415248d7143b
|
3 |
+
size 268514874
|
checkpoint-120/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e69f9463e63f630e9d19e9e943967b483f6ad7d8148528460ee5eef8b57e4837
|
3 |
+
size 14244
|
checkpoint-120/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:38bdced6aea30e4a2fbc6689e1d6c5e654c04a709c3628d0ddc81f78f9902682
|
3 |
+
size 1064
|
checkpoint-120/special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": true,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": true,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "</s>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<unk>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": true,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
checkpoint-120/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-120/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
checkpoint-120/tokenizer_config.json
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"__type": "AddedToken",
|
4 |
+
"content": "<s>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": true,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false
|
9 |
+
},
|
10 |
+
"clean_up_tokenization_spaces": false,
|
11 |
+
"eos_token": {
|
12 |
+
"__type": "AddedToken",
|
13 |
+
"content": "</s>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": true,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false
|
18 |
+
},
|
19 |
+
"legacy": false,
|
20 |
+
"model_max_length": 1000000000000000019884624838656,
|
21 |
+
"pad_token": null,
|
22 |
+
"sp_model_kwargs": {},
|
23 |
+
"tokenizer_class": "LlamaTokenizer",
|
24 |
+
"unk_token": {
|
25 |
+
"__type": "AddedToken",
|
26 |
+
"content": "<unk>",
|
27 |
+
"lstrip": false,
|
28 |
+
"normalized": true,
|
29 |
+
"rstrip": false,
|
30 |
+
"single_word": false
|
31 |
+
}
|
32 |
+
}
|
checkpoint-120/trainer_state.json
ADDED
@@ -0,0 +1,736 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.64,
|
5 |
+
"global_step": 120,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.01,
|
12 |
+
"learning_rate": 1.1764705882352942e-05,
|
13 |
+
"loss": 1.9122,
|
14 |
+
"step": 1
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.01,
|
18 |
+
"learning_rate": 2.3529411764705884e-05,
|
19 |
+
"loss": 2.0707,
|
20 |
+
"step": 2
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.02,
|
24 |
+
"learning_rate": 3.529411764705883e-05,
|
25 |
+
"loss": 1.9703,
|
26 |
+
"step": 3
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.02,
|
30 |
+
"learning_rate": 4.705882352941177e-05,
|
31 |
+
"loss": 2.015,
|
32 |
+
"step": 4
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.03,
|
36 |
+
"learning_rate": 5.882352941176471e-05,
|
37 |
+
"loss": 2.119,
|
38 |
+
"step": 5
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.03,
|
42 |
+
"learning_rate": 7.058823529411765e-05,
|
43 |
+
"loss": 2.0515,
|
44 |
+
"step": 6
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.04,
|
48 |
+
"learning_rate": 8.23529411764706e-05,
|
49 |
+
"loss": 1.7436,
|
50 |
+
"step": 7
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.04,
|
54 |
+
"learning_rate": 9.411764705882353e-05,
|
55 |
+
"loss": 1.9326,
|
56 |
+
"step": 8
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.05,
|
60 |
+
"learning_rate": 0.00010588235294117647,
|
61 |
+
"loss": 2.0819,
|
62 |
+
"step": 9
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.05,
|
66 |
+
"learning_rate": 0.00011764705882352942,
|
67 |
+
"loss": 1.9965,
|
68 |
+
"step": 10
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.06,
|
72 |
+
"learning_rate": 0.00012941176470588237,
|
73 |
+
"loss": 2.0543,
|
74 |
+
"step": 11
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.06,
|
78 |
+
"learning_rate": 0.0001411764705882353,
|
79 |
+
"loss": 2.0461,
|
80 |
+
"step": 12
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.07,
|
84 |
+
"learning_rate": 0.00015294117647058822,
|
85 |
+
"loss": 2.311,
|
86 |
+
"step": 13
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.07,
|
90 |
+
"learning_rate": 0.0001647058823529412,
|
91 |
+
"loss": 1.8447,
|
92 |
+
"step": 14
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.08,
|
96 |
+
"learning_rate": 0.00017647058823529413,
|
97 |
+
"loss": 2.6263,
|
98 |
+
"step": 15
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.09,
|
102 |
+
"learning_rate": 0.00018823529411764707,
|
103 |
+
"loss": 2.6179,
|
104 |
+
"step": 16
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.09,
|
108 |
+
"learning_rate": 0.0002,
|
109 |
+
"loss": 2.535,
|
110 |
+
"step": 17
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.1,
|
114 |
+
"learning_rate": 0.00019999833248118322,
|
115 |
+
"loss": 2.5924,
|
116 |
+
"step": 18
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.1,
|
120 |
+
"learning_rate": 0.00019999332998034514,
|
121 |
+
"loss": 2.3562,
|
122 |
+
"step": 19
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.11,
|
126 |
+
"learning_rate": 0.00019998499266432108,
|
127 |
+
"loss": 2.2352,
|
128 |
+
"step": 20
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.11,
|
132 |
+
"learning_rate": 0.00019997332081116373,
|
133 |
+
"loss": 2.152,
|
134 |
+
"step": 21
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.12,
|
138 |
+
"learning_rate": 0.00019995831481013374,
|
139 |
+
"loss": 2.1149,
|
140 |
+
"step": 22
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.12,
|
144 |
+
"learning_rate": 0.00019993997516168689,
|
145 |
+
"loss": 2.1608,
|
146 |
+
"step": 23
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.13,
|
150 |
+
"learning_rate": 0.0001999183024774573,
|
151 |
+
"loss": 2.1593,
|
152 |
+
"step": 24
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.13,
|
156 |
+
"learning_rate": 0.00019989329748023725,
|
157 |
+
"loss": 2.2774,
|
158 |
+
"step": 25
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.14,
|
162 |
+
"learning_rate": 0.00019986496100395275,
|
163 |
+
"loss": 2.0355,
|
164 |
+
"step": 26
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.14,
|
168 |
+
"learning_rate": 0.00019983329399363598,
|
169 |
+
"loss": 1.9455,
|
170 |
+
"step": 27
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.15,
|
174 |
+
"learning_rate": 0.0001997982975053936,
|
175 |
+
"loss": 2.5648,
|
176 |
+
"step": 28
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.15,
|
180 |
+
"learning_rate": 0.0001997599727063717,
|
181 |
+
"loss": 2.3619,
|
182 |
+
"step": 29
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.16,
|
186 |
+
"learning_rate": 0.00019971832087471676,
|
187 |
+
"loss": 2.0888,
|
188 |
+
"step": 30
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.17,
|
192 |
+
"learning_rate": 0.000199673343399533,
|
193 |
+
"loss": 1.9363,
|
194 |
+
"step": 31
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.17,
|
198 |
+
"learning_rate": 0.00019962504178083618,
|
199 |
+
"loss": 2.0259,
|
200 |
+
"step": 32
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.18,
|
204 |
+
"learning_rate": 0.00019957341762950344,
|
205 |
+
"loss": 1.8482,
|
206 |
+
"step": 33
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.18,
|
210 |
+
"learning_rate": 0.0001995184726672197,
|
211 |
+
"loss": 1.8542,
|
212 |
+
"step": 34
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.19,
|
216 |
+
"learning_rate": 0.0001994602087264201,
|
217 |
+
"loss": 1.9435,
|
218 |
+
"step": 35
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.19,
|
222 |
+
"learning_rate": 0.00019939862775022893,
|
223 |
+
"loss": 1.6559,
|
224 |
+
"step": 36
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.2,
|
228 |
+
"learning_rate": 0.00019933373179239502,
|
229 |
+
"loss": 1.9478,
|
230 |
+
"step": 37
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.2,
|
234 |
+
"learning_rate": 0.0001992655230172229,
|
235 |
+
"loss": 1.9417,
|
236 |
+
"step": 38
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.21,
|
240 |
+
"learning_rate": 0.000199194003699501,
|
241 |
+
"loss": 1.9067,
|
242 |
+
"step": 39
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.21,
|
246 |
+
"learning_rate": 0.00019911917622442537,
|
247 |
+
"loss": 1.6106,
|
248 |
+
"step": 40
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.22,
|
252 |
+
"learning_rate": 0.0001990410430875205,
|
253 |
+
"loss": 1.2742,
|
254 |
+
"step": 41
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.22,
|
258 |
+
"learning_rate": 0.00019895960689455598,
|
259 |
+
"loss": 1.3048,
|
260 |
+
"step": 42
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 0.23,
|
264 |
+
"learning_rate": 0.0001988748703614594,
|
265 |
+
"loss": 1.1847,
|
266 |
+
"step": 43
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 0.23,
|
270 |
+
"learning_rate": 0.00019878683631422605,
|
271 |
+
"loss": 1.1683,
|
272 |
+
"step": 44
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 0.24,
|
276 |
+
"learning_rate": 0.00019869550768882455,
|
277 |
+
"loss": 1.1531,
|
278 |
+
"step": 45
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.25,
|
282 |
+
"learning_rate": 0.00019860088753109896,
|
283 |
+
"loss": 1.1401,
|
284 |
+
"step": 46
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.25,
|
288 |
+
"learning_rate": 0.0001985029789966671,
|
289 |
+
"loss": 1.8959,
|
290 |
+
"step": 47
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.26,
|
294 |
+
"learning_rate": 0.00019840178535081545,
|
295 |
+
"loss": 1.897,
|
296 |
+
"step": 48
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.26,
|
300 |
+
"learning_rate": 0.0001982973099683902,
|
301 |
+
"loss": 1.791,
|
302 |
+
"step": 49
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 0.27,
|
306 |
+
"learning_rate": 0.00019818955633368464,
|
307 |
+
"loss": 1.7451,
|
308 |
+
"step": 50
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 0.27,
|
312 |
+
"learning_rate": 0.00019807852804032305,
|
313 |
+
"loss": 1.8556,
|
314 |
+
"step": 51
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 0.28,
|
318 |
+
"learning_rate": 0.00019796422879114084,
|
319 |
+
"loss": 1.7882,
|
320 |
+
"step": 52
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 0.28,
|
324 |
+
"learning_rate": 0.0001978466623980609,
|
325 |
+
"loss": 1.8834,
|
326 |
+
"step": 53
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 0.29,
|
330 |
+
"learning_rate": 0.00019772583278196678,
|
331 |
+
"loss": 1.7593,
|
332 |
+
"step": 54
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.29,
|
336 |
+
"learning_rate": 0.00019760174397257156,
|
337 |
+
"loss": 1.8291,
|
338 |
+
"step": 55
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.3,
|
342 |
+
"learning_rate": 0.00019747440010828383,
|
343 |
+
"loss": 1.808,
|
344 |
+
"step": 56
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 0.3,
|
348 |
+
"learning_rate": 0.0001973438054360693,
|
349 |
+
"loss": 1.6324,
|
350 |
+
"step": 57
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 0.31,
|
354 |
+
"learning_rate": 0.00019720996431130946,
|
355 |
+
"loss": 1.483,
|
356 |
+
"step": 58
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 0.31,
|
360 |
+
"learning_rate": 0.00019707288119765623,
|
361 |
+
"loss": 1.9648,
|
362 |
+
"step": 59
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 0.32,
|
366 |
+
"learning_rate": 0.000196932560666883,
|
367 |
+
"loss": 1.5742,
|
368 |
+
"step": 60
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 0.33,
|
372 |
+
"learning_rate": 0.00019678900739873226,
|
373 |
+
"loss": 1.7066,
|
374 |
+
"step": 61
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.33,
|
378 |
+
"learning_rate": 0.00019664222618075958,
|
379 |
+
"loss": 2.0719,
|
380 |
+
"step": 62
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.34,
|
384 |
+
"learning_rate": 0.0001964922219081738,
|
385 |
+
"loss": 1.9432,
|
386 |
+
"step": 63
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 0.34,
|
390 |
+
"learning_rate": 0.00019633899958367384,
|
391 |
+
"loss": 1.7979,
|
392 |
+
"step": 64
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 0.35,
|
396 |
+
"learning_rate": 0.00019618256431728194,
|
397 |
+
"loss": 1.6286,
|
398 |
+
"step": 65
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 0.35,
|
402 |
+
"learning_rate": 0.000196022921326173,
|
403 |
+
"loss": 1.6031,
|
404 |
+
"step": 66
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 0.36,
|
408 |
+
"learning_rate": 0.00019586007593450097,
|
409 |
+
"loss": 1.5169,
|
410 |
+
"step": 67
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 0.36,
|
414 |
+
"learning_rate": 0.0001956940335732209,
|
415 |
+
"loss": 1.5923,
|
416 |
+
"step": 68
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.37,
|
420 |
+
"learning_rate": 0.000195524799779908,
|
421 |
+
"loss": 1.6123,
|
422 |
+
"step": 69
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.37,
|
426 |
+
"learning_rate": 0.000195352380198573,
|
427 |
+
"loss": 1.7392,
|
428 |
+
"step": 70
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 0.38,
|
432 |
+
"learning_rate": 0.00019517678057947384,
|
433 |
+
"loss": 1.6406,
|
434 |
+
"step": 71
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 0.38,
|
438 |
+
"learning_rate": 0.00019499800677892385,
|
439 |
+
"loss": 1.5532,
|
440 |
+
"step": 72
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 0.39,
|
444 |
+
"learning_rate": 0.0001948160647590966,
|
445 |
+
"loss": 1.816,
|
446 |
+
"step": 73
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 0.39,
|
450 |
+
"learning_rate": 0.0001946309605878269,
|
451 |
+
"loss": 1.5759,
|
452 |
+
"step": 74
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 0.4,
|
456 |
+
"learning_rate": 0.00019444270043840852,
|
457 |
+
"loss": 1.6726,
|
458 |
+
"step": 75
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.41,
|
462 |
+
"learning_rate": 0.00019425129058938832,
|
463 |
+
"loss": 1.6134,
|
464 |
+
"step": 76
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.41,
|
468 |
+
"learning_rate": 0.00019405673742435678,
|
469 |
+
"loss": 1.6285,
|
470 |
+
"step": 77
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 0.42,
|
474 |
+
"learning_rate": 0.00019385904743173516,
|
475 |
+
"loss": 1.6023,
|
476 |
+
"step": 78
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 0.42,
|
480 |
+
"learning_rate": 0.00019365822720455916,
|
481 |
+
"loss": 1.5177,
|
482 |
+
"step": 79
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 0.43,
|
486 |
+
"learning_rate": 0.00019345428344025883,
|
487 |
+
"loss": 1.5413,
|
488 |
+
"step": 80
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 0.43,
|
492 |
+
"learning_rate": 0.00019324722294043558,
|
493 |
+
"loss": 1.3404,
|
494 |
+
"step": 81
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 0.44,
|
498 |
+
"learning_rate": 0.00019303705261063497,
|
499 |
+
"loss": 1.6409,
|
500 |
+
"step": 82
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 0.44,
|
504 |
+
"learning_rate": 0.00019282377946011652,
|
505 |
+
"loss": 1.6361,
|
506 |
+
"step": 83
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.45,
|
510 |
+
"learning_rate": 0.00019260741060162016,
|
511 |
+
"loss": 1.4902,
|
512 |
+
"step": 84
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 0.45,
|
516 |
+
"learning_rate": 0.0001923879532511287,
|
517 |
+
"loss": 1.3232,
|
518 |
+
"step": 85
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 0.46,
|
522 |
+
"learning_rate": 0.00019216541472762735,
|
523 |
+
"loss": 1.2438,
|
524 |
+
"step": 86
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 0.46,
|
528 |
+
"learning_rate": 0.00019193980245285966,
|
529 |
+
"loss": 1.0828,
|
530 |
+
"step": 87
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 0.47,
|
534 |
+
"learning_rate": 0.00019171112395107985,
|
535 |
+
"loss": 1.0696,
|
536 |
+
"step": 88
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 0.47,
|
540 |
+
"learning_rate": 0.0001914793868488021,
|
541 |
+
"loss": 1.0179,
|
542 |
+
"step": 89
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 0.48,
|
546 |
+
"learning_rate": 0.0001912445988745459,
|
547 |
+
"loss": 1.0012,
|
548 |
+
"step": 90
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.49,
|
552 |
+
"learning_rate": 0.0001910067678585786,
|
553 |
+
"loss": 0.9423,
|
554 |
+
"step": 91
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 0.49,
|
558 |
+
"learning_rate": 0.00019076590173265406,
|
559 |
+
"loss": 0.9173,
|
560 |
+
"step": 92
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 0.5,
|
564 |
+
"learning_rate": 0.00019052200852974819,
|
565 |
+
"loss": 1.8901,
|
566 |
+
"step": 93
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 0.5,
|
570 |
+
"learning_rate": 0.0001902750963837912,
|
571 |
+
"loss": 1.9665,
|
572 |
+
"step": 94
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 0.51,
|
576 |
+
"learning_rate": 0.00019002517352939598,
|
577 |
+
"loss": 1.8323,
|
578 |
+
"step": 95
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 0.51,
|
582 |
+
"learning_rate": 0.0001897722483015838,
|
583 |
+
"loss": 1.7828,
|
584 |
+
"step": 96
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 0.52,
|
588 |
+
"learning_rate": 0.00018951632913550626,
|
589 |
+
"loss": 1.5083,
|
590 |
+
"step": 97
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.52,
|
594 |
+
"learning_rate": 0.00018925742456616374,
|
595 |
+
"loss": 1.6924,
|
596 |
+
"step": 98
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 0.53,
|
600 |
+
"learning_rate": 0.0001889955432281212,
|
601 |
+
"loss": 1.7446,
|
602 |
+
"step": 99
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 0.53,
|
606 |
+
"learning_rate": 0.0001887306938552197,
|
607 |
+
"loss": 1.6143,
|
608 |
+
"step": 100
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 0.54,
|
612 |
+
"learning_rate": 0.00018846288528028555,
|
613 |
+
"loss": 1.5013,
|
614 |
+
"step": 101
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 0.54,
|
618 |
+
"learning_rate": 0.0001881921264348355,
|
619 |
+
"loss": 1.6335,
|
620 |
+
"step": 102
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 0.55,
|
624 |
+
"learning_rate": 0.00018791842634877898,
|
625 |
+
"loss": 1.5852,
|
626 |
+
"step": 103
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 0.55,
|
630 |
+
"learning_rate": 0.00018764179415011682,
|
631 |
+
"loss": 1.4358,
|
632 |
+
"step": 104
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.56,
|
636 |
+
"learning_rate": 0.00018736223906463696,
|
637 |
+
"loss": 1.7103,
|
638 |
+
"step": 105
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 0.57,
|
642 |
+
"learning_rate": 0.0001870797704156067,
|
643 |
+
"loss": 1.3361,
|
644 |
+
"step": 106
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 0.57,
|
648 |
+
"learning_rate": 0.00018679439762346185,
|
649 |
+
"loss": 1.7021,
|
650 |
+
"step": 107
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 0.58,
|
654 |
+
"learning_rate": 0.00018650613020549232,
|
655 |
+
"loss": 2.3076,
|
656 |
+
"step": 108
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 0.58,
|
660 |
+
"learning_rate": 0.00018621497777552507,
|
661 |
+
"loss": 1.6109,
|
662 |
+
"step": 109
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 0.59,
|
666 |
+
"learning_rate": 0.00018592095004360318,
|
667 |
+
"loss": 1.8032,
|
668 |
+
"step": 110
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 0.59,
|
672 |
+
"learning_rate": 0.00018562405681566216,
|
673 |
+
"loss": 1.6432,
|
674 |
+
"step": 111
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.6,
|
678 |
+
"learning_rate": 0.0001853243079932029,
|
679 |
+
"loss": 1.4159,
|
680 |
+
"step": 112
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 0.6,
|
684 |
+
"learning_rate": 0.00018502171357296144,
|
685 |
+
"loss": 1.4869,
|
686 |
+
"step": 113
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 0.61,
|
690 |
+
"learning_rate": 0.00018471628364657555,
|
691 |
+
"loss": 1.419,
|
692 |
+
"step": 114
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 0.61,
|
696 |
+
"learning_rate": 0.00018440802840024822,
|
697 |
+
"loss": 1.3616,
|
698 |
+
"step": 115
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 0.62,
|
702 |
+
"learning_rate": 0.00018409695811440796,
|
703 |
+
"loss": 1.4805,
|
704 |
+
"step": 116
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 0.62,
|
708 |
+
"learning_rate": 0.00018378308316336584,
|
709 |
+
"loss": 1.5585,
|
710 |
+
"step": 117
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 0.63,
|
714 |
+
"learning_rate": 0.0001834664140149696,
|
715 |
+
"loss": 1.4302,
|
716 |
+
"step": 118
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.63,
|
720 |
+
"learning_rate": 0.00018314696123025454,
|
721 |
+
"loss": 1.3596,
|
722 |
+
"step": 119
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 0.64,
|
726 |
+
"learning_rate": 0.0001828247354630912,
|
727 |
+
"loss": 1.5605,
|
728 |
+
"step": 120
|
729 |
+
}
|
730 |
+
],
|
731 |
+
"max_steps": 561,
|
732 |
+
"num_train_epochs": 3,
|
733 |
+
"total_flos": 2.36947687391232e+16,
|
734 |
+
"trial_name": null,
|
735 |
+
"trial_params": null
|
736 |
+
}
|