Qin Liu commited on
Commit
19987b2
·
verified ·
1 Parent(s): 27df406

Model save

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,69 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: gemma
3
+ library_name: peft
4
+ tags:
5
+ - trl
6
+ - sft
7
+ - generated_from_trainer
8
+ base_model: google/gemma-7b
9
+ model-index:
10
+ - name: zephyr-7b-gemma-sft-10p-2048
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # zephyr-7b-gemma-sft-10p-2048
18
+
19
+ This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the None dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 1.2143
22
+
23
+ ## Model description
24
+
25
+ More information needed
26
+
27
+ ## Intended uses & limitations
28
+
29
+ More information needed
30
+
31
+ ## Training and evaluation data
32
+
33
+ More information needed
34
+
35
+ ## Training procedure
36
+
37
+ ### Training hyperparameters
38
+
39
+ The following hyperparameters were used during training:
40
+ - learning_rate: 0.0002
41
+ - train_batch_size: 4
42
+ - eval_batch_size: 4
43
+ - seed: 42
44
+ - distributed_type: multi-GPU
45
+ - num_devices: 4
46
+ - gradient_accumulation_steps: 2
47
+ - total_train_batch_size: 32
48
+ - total_eval_batch_size: 16
49
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
50
+ - lr_scheduler_type: cosine
51
+ - lr_scheduler_warmup_ratio: 0.1
52
+ - num_epochs: 3
53
+
54
+ ### Training results
55
+
56
+ | Training Loss | Epoch | Step | Validation Loss |
57
+ |:-------------:|:-----:|:----:|:---------------:|
58
+ | 0.8945 | 1.0 | 655 | 1.2307 |
59
+ | 0.8664 | 2.0 | 1311 | 1.1823 |
60
+ | 0.8345 | 3.0 | 1965 | 1.2143 |
61
+
62
+
63
+ ### Framework versions
64
+
65
+ - PEFT 0.7.1
66
+ - Transformers 4.39.0.dev0
67
+ - Pytorch 2.1.2
68
+ - Datasets 2.14.6
69
+ - Tokenizers 0.15.2
adapter_config.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "google/gemma-7b",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layers_pattern": null,
10
+ "layers_to_transform": null,
11
+ "loftq_config": {},
12
+ "lora_alpha": 8,
13
+ "lora_dropout": 0.05,
14
+ "megatron_config": null,
15
+ "megatron_core": "megatron.core",
16
+ "modules_to_save": null,
17
+ "peft_type": "LORA",
18
+ "r": 6,
19
+ "rank_pattern": {},
20
+ "revision": null,
21
+ "target_modules": [
22
+ "down_proj",
23
+ "up_proj",
24
+ "o_proj",
25
+ "k_proj",
26
+ "q_proj",
27
+ "gate_proj",
28
+ "v_proj"
29
+ ],
30
+ "task_type": "CAUSAL_LM"
31
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:215a47df1fb327319becff891d72fc3a777fa9837691287409f412ed54560337
3
+ size 37555048
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "train_loss": 1.1282114190303036,
4
+ "train_runtime": 21563.1342,
5
+ "train_samples": 20971,
6
+ "train_samples_per_second": 2.918,
7
+ "train_steps_per_second": 0.091
8
+ }
runs/Apr26_02-29-49_COE-CS-sv003/events.out.tfevents.1714098668.COE-CS-sv003.474751.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bf6da6fd21b37edfa6c29919928cac1cf10ac678539a5e0c5b02e4d820c5c437
3
+ size 89007
special_tokens_map.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ {
4
+ "content": "<|im_start|>",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false
9
+ },
10
+ {
11
+ "content": "<|im_end|>",
12
+ "lstrip": false,
13
+ "normalized": false,
14
+ "rstrip": false,
15
+ "single_word": false
16
+ }
17
+ ],
18
+ "bos_token": "<|im_start|>",
19
+ "eos_token": "<|im_end|>",
20
+ "pad_token": "<|im_end|>",
21
+ "unk_token": {
22
+ "content": "<unk>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false
27
+ }
28
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:299f8e59a5c4a3b3941dbe1159a7079d69c7a8d5ca34322ace1be9140ae76cc0
3
+ size 17477572
tokenizer_config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
5
+ "0": {
6
+ "content": "<pad>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<eos>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "<bos>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "3": {
30
+ "content": "<unk>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "106": {
38
+ "content": "<|im_start|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "107": {
46
+ "content": "<|im_end|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ }
53
+ },
54
+ "additional_special_tokens": [
55
+ "<|im_start|>",
56
+ "<|im_end|>"
57
+ ],
58
+ "bos_token": "<|im_start|>",
59
+ "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
60
+ "clean_up_tokenization_spaces": false,
61
+ "eos_token": "<|im_end|>",
62
+ "legacy": null,
63
+ "model_max_length": 2048,
64
+ "pad_token": "<|im_end|>",
65
+ "sp_model_kwargs": {},
66
+ "spaces_between_special_tokens": false,
67
+ "tokenizer_class": "GemmaTokenizer",
68
+ "unk_token": "<unk>",
69
+ "use_default_system_prompt": false
70
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "train_loss": 1.1282114190303036,
4
+ "train_runtime": 21563.1342,
5
+ "train_samples": 20971,
6
+ "train_samples_per_second": 2.918,
7
+ "train_steps_per_second": 0.091
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,2812 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.997711670480549,
5
+ "eval_steps": 500,
6
+ "global_step": 1965,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0,
13
+ "grad_norm": 74.09103341509594,
14
+ "learning_rate": 1.015228426395939e-06,
15
+ "loss": 17.1746,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.01,
20
+ "grad_norm": 72.3290702180604,
21
+ "learning_rate": 5.076142131979695e-06,
22
+ "loss": 16.9572,
23
+ "step": 5
24
+ },
25
+ {
26
+ "epoch": 0.02,
27
+ "grad_norm": 68.83490251260932,
28
+ "learning_rate": 1.015228426395939e-05,
29
+ "loss": 16.4638,
30
+ "step": 10
31
+ },
32
+ {
33
+ "epoch": 0.02,
34
+ "grad_norm": 66.14177674907667,
35
+ "learning_rate": 1.5228426395939088e-05,
36
+ "loss": 15.6072,
37
+ "step": 15
38
+ },
39
+ {
40
+ "epoch": 0.03,
41
+ "grad_norm": 54.81375243549984,
42
+ "learning_rate": 2.030456852791878e-05,
43
+ "loss": 13.4345,
44
+ "step": 20
45
+ },
46
+ {
47
+ "epoch": 0.04,
48
+ "grad_norm": 50.488727866909294,
49
+ "learning_rate": 2.5380710659898476e-05,
50
+ "loss": 10.913,
51
+ "step": 25
52
+ },
53
+ {
54
+ "epoch": 0.05,
55
+ "grad_norm": 31.023628043144985,
56
+ "learning_rate": 3.0456852791878175e-05,
57
+ "loss": 7.8116,
58
+ "step": 30
59
+ },
60
+ {
61
+ "epoch": 0.05,
62
+ "grad_norm": 23.598786792296284,
63
+ "learning_rate": 3.553299492385787e-05,
64
+ "loss": 5.6786,
65
+ "step": 35
66
+ },
67
+ {
68
+ "epoch": 0.06,
69
+ "grad_norm": 14.877927520936698,
70
+ "learning_rate": 4.060913705583756e-05,
71
+ "loss": 4.5198,
72
+ "step": 40
73
+ },
74
+ {
75
+ "epoch": 0.07,
76
+ "grad_norm": 10.064755961584666,
77
+ "learning_rate": 4.568527918781726e-05,
78
+ "loss": 3.6186,
79
+ "step": 45
80
+ },
81
+ {
82
+ "epoch": 0.08,
83
+ "grad_norm": 9.060836838854962,
84
+ "learning_rate": 5.076142131979695e-05,
85
+ "loss": 2.7201,
86
+ "step": 50
87
+ },
88
+ {
89
+ "epoch": 0.08,
90
+ "grad_norm": 7.929927938462856,
91
+ "learning_rate": 5.583756345177665e-05,
92
+ "loss": 2.0934,
93
+ "step": 55
94
+ },
95
+ {
96
+ "epoch": 0.09,
97
+ "grad_norm": 3.6854754029311034,
98
+ "learning_rate": 6.091370558375635e-05,
99
+ "loss": 1.7053,
100
+ "step": 60
101
+ },
102
+ {
103
+ "epoch": 0.1,
104
+ "grad_norm": 3.113155800813489,
105
+ "learning_rate": 6.598984771573604e-05,
106
+ "loss": 1.5882,
107
+ "step": 65
108
+ },
109
+ {
110
+ "epoch": 0.11,
111
+ "grad_norm": 2.516100336604323,
112
+ "learning_rate": 7.106598984771574e-05,
113
+ "loss": 1.4144,
114
+ "step": 70
115
+ },
116
+ {
117
+ "epoch": 0.11,
118
+ "grad_norm": 2.301065817041555,
119
+ "learning_rate": 7.614213197969543e-05,
120
+ "loss": 1.2941,
121
+ "step": 75
122
+ },
123
+ {
124
+ "epoch": 0.12,
125
+ "grad_norm": 1.9632078441101082,
126
+ "learning_rate": 8.121827411167512e-05,
127
+ "loss": 1.3128,
128
+ "step": 80
129
+ },
130
+ {
131
+ "epoch": 0.13,
132
+ "grad_norm": 2.0984053055137286,
133
+ "learning_rate": 8.629441624365483e-05,
134
+ "loss": 1.3046,
135
+ "step": 85
136
+ },
137
+ {
138
+ "epoch": 0.14,
139
+ "grad_norm": 1.931380727499494,
140
+ "learning_rate": 9.137055837563452e-05,
141
+ "loss": 1.3041,
142
+ "step": 90
143
+ },
144
+ {
145
+ "epoch": 0.14,
146
+ "grad_norm": 1.6180374677897205,
147
+ "learning_rate": 9.644670050761421e-05,
148
+ "loss": 1.21,
149
+ "step": 95
150
+ },
151
+ {
152
+ "epoch": 0.15,
153
+ "grad_norm": 2.0950245146438564,
154
+ "learning_rate": 0.0001015228426395939,
155
+ "loss": 1.21,
156
+ "step": 100
157
+ },
158
+ {
159
+ "epoch": 0.16,
160
+ "grad_norm": 2.1189031385931925,
161
+ "learning_rate": 0.00010659898477157362,
162
+ "loss": 1.1054,
163
+ "step": 105
164
+ },
165
+ {
166
+ "epoch": 0.17,
167
+ "grad_norm": 2.015635255767197,
168
+ "learning_rate": 0.0001116751269035533,
169
+ "loss": 1.1536,
170
+ "step": 110
171
+ },
172
+ {
173
+ "epoch": 0.18,
174
+ "grad_norm": 1.3137399170764255,
175
+ "learning_rate": 0.000116751269035533,
176
+ "loss": 1.0306,
177
+ "step": 115
178
+ },
179
+ {
180
+ "epoch": 0.18,
181
+ "grad_norm": 1.4459264638000027,
182
+ "learning_rate": 0.0001218274111675127,
183
+ "loss": 1.0956,
184
+ "step": 120
185
+ },
186
+ {
187
+ "epoch": 0.19,
188
+ "grad_norm": 1.8464804044878194,
189
+ "learning_rate": 0.0001269035532994924,
190
+ "loss": 1.1259,
191
+ "step": 125
192
+ },
193
+ {
194
+ "epoch": 0.2,
195
+ "grad_norm": 2.1383334768591142,
196
+ "learning_rate": 0.00013197969543147207,
197
+ "loss": 1.0779,
198
+ "step": 130
199
+ },
200
+ {
201
+ "epoch": 0.21,
202
+ "grad_norm": 2.816865870724176,
203
+ "learning_rate": 0.00013705583756345178,
204
+ "loss": 1.0787,
205
+ "step": 135
206
+ },
207
+ {
208
+ "epoch": 0.21,
209
+ "grad_norm": 1.514643987387779,
210
+ "learning_rate": 0.00014213197969543148,
211
+ "loss": 1.1153,
212
+ "step": 140
213
+ },
214
+ {
215
+ "epoch": 0.22,
216
+ "grad_norm": 1.9840936459404523,
217
+ "learning_rate": 0.00014720812182741116,
218
+ "loss": 1.0968,
219
+ "step": 145
220
+ },
221
+ {
222
+ "epoch": 0.23,
223
+ "grad_norm": 2.1892173343482852,
224
+ "learning_rate": 0.00015228426395939087,
225
+ "loss": 1.0693,
226
+ "step": 150
227
+ },
228
+ {
229
+ "epoch": 0.24,
230
+ "grad_norm": 2.0955352886552725,
231
+ "learning_rate": 0.00015736040609137057,
232
+ "loss": 1.0467,
233
+ "step": 155
234
+ },
235
+ {
236
+ "epoch": 0.24,
237
+ "grad_norm": 1.989968599726472,
238
+ "learning_rate": 0.00016243654822335025,
239
+ "loss": 0.9779,
240
+ "step": 160
241
+ },
242
+ {
243
+ "epoch": 0.25,
244
+ "grad_norm": 1.4084167700372459,
245
+ "learning_rate": 0.00016751269035532995,
246
+ "loss": 0.9782,
247
+ "step": 165
248
+ },
249
+ {
250
+ "epoch": 0.26,
251
+ "grad_norm": 1.850084427217725,
252
+ "learning_rate": 0.00017258883248730966,
253
+ "loss": 0.9894,
254
+ "step": 170
255
+ },
256
+ {
257
+ "epoch": 0.27,
258
+ "grad_norm": 2.035510825701115,
259
+ "learning_rate": 0.00017766497461928934,
260
+ "loss": 1.0363,
261
+ "step": 175
262
+ },
263
+ {
264
+ "epoch": 0.27,
265
+ "grad_norm": 1.833391476127078,
266
+ "learning_rate": 0.00018274111675126904,
267
+ "loss": 1.0404,
268
+ "step": 180
269
+ },
270
+ {
271
+ "epoch": 0.28,
272
+ "grad_norm": 2.166606883573874,
273
+ "learning_rate": 0.00018781725888324875,
274
+ "loss": 1.0367,
275
+ "step": 185
276
+ },
277
+ {
278
+ "epoch": 0.29,
279
+ "grad_norm": 1.803084621710003,
280
+ "learning_rate": 0.00019289340101522843,
281
+ "loss": 1.0255,
282
+ "step": 190
283
+ },
284
+ {
285
+ "epoch": 0.3,
286
+ "grad_norm": 1.624927933213703,
287
+ "learning_rate": 0.00019796954314720813,
288
+ "loss": 0.9999,
289
+ "step": 195
290
+ },
291
+ {
292
+ "epoch": 0.31,
293
+ "grad_norm": 1.6910332351905768,
294
+ "learning_rate": 0.00019999857915498025,
295
+ "loss": 1.0179,
296
+ "step": 200
297
+ },
298
+ {
299
+ "epoch": 0.31,
300
+ "grad_norm": 1.7237344176394134,
301
+ "learning_rate": 0.00019998989635940995,
302
+ "loss": 1.073,
303
+ "step": 205
304
+ },
305
+ {
306
+ "epoch": 0.32,
307
+ "grad_norm": 1.5125995515843347,
308
+ "learning_rate": 0.00019997332081116373,
309
+ "loss": 0.9436,
310
+ "step": 210
311
+ },
312
+ {
313
+ "epoch": 0.33,
314
+ "grad_norm": 1.4259560737656336,
315
+ "learning_rate": 0.00019994885381864085,
316
+ "loss": 1.0299,
317
+ "step": 215
318
+ },
319
+ {
320
+ "epoch": 0.34,
321
+ "grad_norm": 1.745342365482267,
322
+ "learning_rate": 0.00019991649731315554,
323
+ "loss": 1.0236,
324
+ "step": 220
325
+ },
326
+ {
327
+ "epoch": 0.34,
328
+ "grad_norm": 1.347141268066664,
329
+ "learning_rate": 0.0001998762538487849,
330
+ "loss": 1.0469,
331
+ "step": 225
332
+ },
333
+ {
334
+ "epoch": 0.35,
335
+ "grad_norm": 1.6280396542343814,
336
+ "learning_rate": 0.00019982812660216702,
337
+ "loss": 1.0283,
338
+ "step": 230
339
+ },
340
+ {
341
+ "epoch": 0.36,
342
+ "grad_norm": 1.8616024137182106,
343
+ "learning_rate": 0.0001997721193722502,
344
+ "loss": 1.018,
345
+ "step": 235
346
+ },
347
+ {
348
+ "epoch": 0.37,
349
+ "grad_norm": 1.6748163706768688,
350
+ "learning_rate": 0.00019970823657999327,
351
+ "loss": 0.9641,
352
+ "step": 240
353
+ },
354
+ {
355
+ "epoch": 0.37,
356
+ "grad_norm": 1.8217157997237183,
357
+ "learning_rate": 0.00019963648326801653,
358
+ "loss": 0.9978,
359
+ "step": 245
360
+ },
361
+ {
362
+ "epoch": 0.38,
363
+ "grad_norm": 1.7192183617890824,
364
+ "learning_rate": 0.00019955686510020372,
365
+ "loss": 1.0003,
366
+ "step": 250
367
+ },
368
+ {
369
+ "epoch": 0.39,
370
+ "grad_norm": 1.6670101592399749,
371
+ "learning_rate": 0.00019946938836125483,
372
+ "loss": 1.0061,
373
+ "step": 255
374
+ },
375
+ {
376
+ "epoch": 0.4,
377
+ "grad_norm": 2.0401527430040987,
378
+ "learning_rate": 0.00019937405995619023,
379
+ "loss": 1.0114,
380
+ "step": 260
381
+ },
382
+ {
383
+ "epoch": 0.4,
384
+ "grad_norm": 1.5731808739124065,
385
+ "learning_rate": 0.0001992708874098054,
386
+ "loss": 0.9585,
387
+ "step": 265
388
+ },
389
+ {
390
+ "epoch": 0.41,
391
+ "grad_norm": 1.2522516219731639,
392
+ "learning_rate": 0.00019915987886607713,
393
+ "loss": 0.9405,
394
+ "step": 270
395
+ },
396
+ {
397
+ "epoch": 0.42,
398
+ "grad_norm": 1.5809359876057816,
399
+ "learning_rate": 0.0001990410430875205,
400
+ "loss": 0.9561,
401
+ "step": 275
402
+ },
403
+ {
404
+ "epoch": 0.43,
405
+ "grad_norm": 1.4808669010565572,
406
+ "learning_rate": 0.00019891438945449745,
407
+ "loss": 0.9935,
408
+ "step": 280
409
+ },
410
+ {
411
+ "epoch": 0.43,
412
+ "grad_norm": 1.4718483710588592,
413
+ "learning_rate": 0.00019877992796447601,
414
+ "loss": 0.951,
415
+ "step": 285
416
+ },
417
+ {
418
+ "epoch": 0.44,
419
+ "grad_norm": 1.2492130220680642,
420
+ "learning_rate": 0.00019863766923124148,
421
+ "loss": 0.9418,
422
+ "step": 290
423
+ },
424
+ {
425
+ "epoch": 0.45,
426
+ "grad_norm": 1.3890861204364473,
427
+ "learning_rate": 0.00019848762448405834,
428
+ "loss": 0.9585,
429
+ "step": 295
430
+ },
431
+ {
432
+ "epoch": 0.46,
433
+ "grad_norm": 2.1030414314285437,
434
+ "learning_rate": 0.00019832980556678406,
435
+ "loss": 0.9363,
436
+ "step": 300
437
+ },
438
+ {
439
+ "epoch": 0.47,
440
+ "grad_norm": 1.3041154321040325,
441
+ "learning_rate": 0.00019816422493693417,
442
+ "loss": 0.9555,
443
+ "step": 305
444
+ },
445
+ {
446
+ "epoch": 0.47,
447
+ "grad_norm": 1.4561950481471824,
448
+ "learning_rate": 0.0001979908956646988,
449
+ "loss": 1.006,
450
+ "step": 310
451
+ },
452
+ {
453
+ "epoch": 0.48,
454
+ "grad_norm": 1.3447506745274114,
455
+ "learning_rate": 0.00019780983143191102,
456
+ "loss": 0.938,
457
+ "step": 315
458
+ },
459
+ {
460
+ "epoch": 0.49,
461
+ "grad_norm": 1.7691372827404117,
462
+ "learning_rate": 0.00019762104653096708,
463
+ "loss": 0.9217,
464
+ "step": 320
465
+ },
466
+ {
467
+ "epoch": 0.5,
468
+ "grad_norm": 1.6326336607001684,
469
+ "learning_rate": 0.00019742455586369784,
470
+ "loss": 0.9642,
471
+ "step": 325
472
+ },
473
+ {
474
+ "epoch": 0.5,
475
+ "grad_norm": 1.6469761536298397,
476
+ "learning_rate": 0.0001972203749401928,
477
+ "loss": 0.9049,
478
+ "step": 330
479
+ },
480
+ {
481
+ "epoch": 0.51,
482
+ "grad_norm": 1.4156285399996218,
483
+ "learning_rate": 0.0001970085198775757,
484
+ "loss": 0.9832,
485
+ "step": 335
486
+ },
487
+ {
488
+ "epoch": 0.52,
489
+ "grad_norm": 1.2369154811780847,
490
+ "learning_rate": 0.00019678900739873226,
491
+ "loss": 0.9586,
492
+ "step": 340
493
+ },
494
+ {
495
+ "epoch": 0.53,
496
+ "grad_norm": 1.184783040387616,
497
+ "learning_rate": 0.00019656185483099024,
498
+ "loss": 0.9512,
499
+ "step": 345
500
+ },
501
+ {
502
+ "epoch": 0.53,
503
+ "grad_norm": 1.5777666184106938,
504
+ "learning_rate": 0.00019632708010475165,
505
+ "loss": 0.9688,
506
+ "step": 350
507
+ },
508
+ {
509
+ "epoch": 0.54,
510
+ "grad_norm": 1.5444096080267231,
511
+ "learning_rate": 0.00019608470175207733,
512
+ "loss": 0.926,
513
+ "step": 355
514
+ },
515
+ {
516
+ "epoch": 0.55,
517
+ "grad_norm": 1.5314192534663842,
518
+ "learning_rate": 0.00019583473890522432,
519
+ "loss": 0.9758,
520
+ "step": 360
521
+ },
522
+ {
523
+ "epoch": 0.56,
524
+ "grad_norm": 1.7369618751197407,
525
+ "learning_rate": 0.0001955772112951354,
526
+ "loss": 0.8986,
527
+ "step": 365
528
+ },
529
+ {
530
+ "epoch": 0.56,
531
+ "grad_norm": 1.9574089323769333,
532
+ "learning_rate": 0.00019531213924988176,
533
+ "loss": 0.9164,
534
+ "step": 370
535
+ },
536
+ {
537
+ "epoch": 0.57,
538
+ "grad_norm": 1.2296445171044836,
539
+ "learning_rate": 0.00019503954369305847,
540
+ "loss": 0.9108,
541
+ "step": 375
542
+ },
543
+ {
544
+ "epoch": 0.58,
545
+ "grad_norm": 1.4908276926290502,
546
+ "learning_rate": 0.00019475944614213262,
547
+ "loss": 0.9318,
548
+ "step": 380
549
+ },
550
+ {
551
+ "epoch": 0.59,
552
+ "grad_norm": 1.3086171099702917,
553
+ "learning_rate": 0.00019447186870674506,
554
+ "loss": 0.9266,
555
+ "step": 385
556
+ },
557
+ {
558
+ "epoch": 0.59,
559
+ "grad_norm": 1.1788811143001057,
560
+ "learning_rate": 0.00019417683408696503,
561
+ "loss": 0.9388,
562
+ "step": 390
563
+ },
564
+ {
565
+ "epoch": 0.6,
566
+ "grad_norm": 1.1833646675888452,
567
+ "learning_rate": 0.00019387436557149841,
568
+ "loss": 0.982,
569
+ "step": 395
570
+ },
571
+ {
572
+ "epoch": 0.61,
573
+ "grad_norm": 1.4649925294006232,
574
+ "learning_rate": 0.00019356448703584933,
575
+ "loss": 0.9697,
576
+ "step": 400
577
+ },
578
+ {
579
+ "epoch": 0.62,
580
+ "grad_norm": 1.3041908495917867,
581
+ "learning_rate": 0.00019324722294043558,
582
+ "loss": 0.9623,
583
+ "step": 405
584
+ },
585
+ {
586
+ "epoch": 0.63,
587
+ "grad_norm": 1.3330225209891455,
588
+ "learning_rate": 0.00019292259832865785,
589
+ "loss": 0.9365,
590
+ "step": 410
591
+ },
592
+ {
593
+ "epoch": 0.63,
594
+ "grad_norm": 1.2450996327905286,
595
+ "learning_rate": 0.00019259063882492292,
596
+ "loss": 1.0171,
597
+ "step": 415
598
+ },
599
+ {
600
+ "epoch": 0.64,
601
+ "grad_norm": 1.3505588278305898,
602
+ "learning_rate": 0.00019225137063262084,
603
+ "loss": 0.9522,
604
+ "step": 420
605
+ },
606
+ {
607
+ "epoch": 0.65,
608
+ "grad_norm": 1.884935596805578,
609
+ "learning_rate": 0.00019190482053205673,
610
+ "loss": 0.922,
611
+ "step": 425
612
+ },
613
+ {
614
+ "epoch": 0.66,
615
+ "grad_norm": 1.549801647217274,
616
+ "learning_rate": 0.00019155101587833677,
617
+ "loss": 0.9534,
618
+ "step": 430
619
+ },
620
+ {
621
+ "epoch": 0.66,
622
+ "grad_norm": 1.0786713746828498,
623
+ "learning_rate": 0.00019118998459920902,
624
+ "loss": 0.9176,
625
+ "step": 435
626
+ },
627
+ {
628
+ "epoch": 0.67,
629
+ "grad_norm": 1.1098145056921047,
630
+ "learning_rate": 0.0001908217551928587,
631
+ "loss": 0.9351,
632
+ "step": 440
633
+ },
634
+ {
635
+ "epoch": 0.68,
636
+ "grad_norm": 1.478688514055702,
637
+ "learning_rate": 0.00019044635672565895,
638
+ "loss": 0.9469,
639
+ "step": 445
640
+ },
641
+ {
642
+ "epoch": 0.69,
643
+ "grad_norm": 1.015346045441744,
644
+ "learning_rate": 0.00019006381882987627,
645
+ "loss": 0.9703,
646
+ "step": 450
647
+ },
648
+ {
649
+ "epoch": 0.69,
650
+ "grad_norm": 1.1820782296841172,
651
+ "learning_rate": 0.0001896741717013315,
652
+ "loss": 0.9601,
653
+ "step": 455
654
+ },
655
+ {
656
+ "epoch": 0.7,
657
+ "grad_norm": 1.2966754894510633,
658
+ "learning_rate": 0.00018927744609701643,
659
+ "loss": 0.9605,
660
+ "step": 460
661
+ },
662
+ {
663
+ "epoch": 0.71,
664
+ "grad_norm": 1.0403285337969717,
665
+ "learning_rate": 0.00018887367333266582,
666
+ "loss": 0.9418,
667
+ "step": 465
668
+ },
669
+ {
670
+ "epoch": 0.72,
671
+ "grad_norm": 1.1722720307755863,
672
+ "learning_rate": 0.00018846288528028555,
673
+ "loss": 0.9741,
674
+ "step": 470
675
+ },
676
+ {
677
+ "epoch": 0.72,
678
+ "grad_norm": 1.2117042399971847,
679
+ "learning_rate": 0.0001880451143656368,
680
+ "loss": 0.9435,
681
+ "step": 475
682
+ },
683
+ {
684
+ "epoch": 0.73,
685
+ "grad_norm": 1.0509023160172017,
686
+ "learning_rate": 0.00018762039356567655,
687
+ "loss": 0.8706,
688
+ "step": 480
689
+ },
690
+ {
691
+ "epoch": 0.74,
692
+ "grad_norm": 1.2265158396763423,
693
+ "learning_rate": 0.00018718875640595434,
694
+ "loss": 0.9051,
695
+ "step": 485
696
+ },
697
+ {
698
+ "epoch": 0.75,
699
+ "grad_norm": 1.2935461295547515,
700
+ "learning_rate": 0.00018675023695796607,
701
+ "loss": 0.9758,
702
+ "step": 490
703
+ },
704
+ {
705
+ "epoch": 0.76,
706
+ "grad_norm": 1.5267873012858113,
707
+ "learning_rate": 0.00018630486983646467,
708
+ "loss": 0.9244,
709
+ "step": 495
710
+ },
711
+ {
712
+ "epoch": 0.76,
713
+ "grad_norm": 1.2742929372558043,
714
+ "learning_rate": 0.00018585269019672743,
715
+ "loss": 0.928,
716
+ "step": 500
717
+ },
718
+ {
719
+ "epoch": 0.77,
720
+ "grad_norm": 1.2358049387637984,
721
+ "learning_rate": 0.00018539373373178123,
722
+ "loss": 0.966,
723
+ "step": 505
724
+ },
725
+ {
726
+ "epoch": 0.78,
727
+ "grad_norm": 1.0460726575553243,
728
+ "learning_rate": 0.00018492803666958515,
729
+ "loss": 0.9259,
730
+ "step": 510
731
+ },
732
+ {
733
+ "epoch": 0.79,
734
+ "grad_norm": 1.361928704446451,
735
+ "learning_rate": 0.00018445563577017062,
736
+ "loss": 0.9742,
737
+ "step": 515
738
+ },
739
+ {
740
+ "epoch": 0.79,
741
+ "grad_norm": 1.139407531386836,
742
+ "learning_rate": 0.0001839765683227398,
743
+ "loss": 0.9318,
744
+ "step": 520
745
+ },
746
+ {
747
+ "epoch": 0.8,
748
+ "grad_norm": 1.242505633372625,
749
+ "learning_rate": 0.00018349087214272224,
750
+ "loss": 0.905,
751
+ "step": 525
752
+ },
753
+ {
754
+ "epoch": 0.81,
755
+ "grad_norm": 1.2336955558098357,
756
+ "learning_rate": 0.00018299858556878972,
757
+ "loss": 0.9233,
758
+ "step": 530
759
+ },
760
+ {
761
+ "epoch": 0.82,
762
+ "grad_norm": 1.1643115008804164,
763
+ "learning_rate": 0.00018249974745983023,
764
+ "loss": 0.8991,
765
+ "step": 535
766
+ },
767
+ {
768
+ "epoch": 0.82,
769
+ "grad_norm": 1.2435271188335837,
770
+ "learning_rate": 0.00018199439719188034,
771
+ "loss": 0.8918,
772
+ "step": 540
773
+ },
774
+ {
775
+ "epoch": 0.83,
776
+ "grad_norm": 1.3025449616558689,
777
+ "learning_rate": 0.00018148257465501716,
778
+ "loss": 0.9272,
779
+ "step": 545
780
+ },
781
+ {
782
+ "epoch": 0.84,
783
+ "grad_norm": 1.639151201490911,
784
+ "learning_rate": 0.0001809643202502097,
785
+ "loss": 0.9188,
786
+ "step": 550
787
+ },
788
+ {
789
+ "epoch": 0.85,
790
+ "grad_norm": 1.1046258635499404,
791
+ "learning_rate": 0.00018043967488612955,
792
+ "loss": 0.846,
793
+ "step": 555
794
+ },
795
+ {
796
+ "epoch": 0.85,
797
+ "grad_norm": 1.1404910374403605,
798
+ "learning_rate": 0.00017990867997592203,
799
+ "loss": 0.9187,
800
+ "step": 560
801
+ },
802
+ {
803
+ "epoch": 0.86,
804
+ "grad_norm": 1.1924053040242124,
805
+ "learning_rate": 0.00017937137743393694,
806
+ "loss": 0.9046,
807
+ "step": 565
808
+ },
809
+ {
810
+ "epoch": 0.87,
811
+ "grad_norm": 1.0135630618037776,
812
+ "learning_rate": 0.0001788278096724203,
813
+ "loss": 0.9146,
814
+ "step": 570
815
+ },
816
+ {
817
+ "epoch": 0.88,
818
+ "grad_norm": 0.9391119950422172,
819
+ "learning_rate": 0.00017827801959816625,
820
+ "loss": 0.9343,
821
+ "step": 575
822
+ },
823
+ {
824
+ "epoch": 0.88,
825
+ "grad_norm": 1.1918282771197495,
826
+ "learning_rate": 0.0001777220506091303,
827
+ "loss": 0.912,
828
+ "step": 580
829
+ },
830
+ {
831
+ "epoch": 0.89,
832
+ "grad_norm": 1.3729834554449354,
833
+ "learning_rate": 0.00017715994659100388,
834
+ "loss": 0.9561,
835
+ "step": 585
836
+ },
837
+ {
838
+ "epoch": 0.9,
839
+ "grad_norm": 1.4315867303078007,
840
+ "learning_rate": 0.00017659175191374983,
841
+ "loss": 0.9503,
842
+ "step": 590
843
+ },
844
+ {
845
+ "epoch": 0.91,
846
+ "grad_norm": 1.1673639446932986,
847
+ "learning_rate": 0.0001760175114281003,
848
+ "loss": 0.8902,
849
+ "step": 595
850
+ },
851
+ {
852
+ "epoch": 0.92,
853
+ "grad_norm": 1.230158811259546,
854
+ "learning_rate": 0.0001754372704620164,
855
+ "loss": 0.8828,
856
+ "step": 600
857
+ },
858
+ {
859
+ "epoch": 0.92,
860
+ "grad_norm": 1.1728800163063369,
861
+ "learning_rate": 0.00017485107481711012,
862
+ "loss": 0.9118,
863
+ "step": 605
864
+ },
865
+ {
866
+ "epoch": 0.93,
867
+ "grad_norm": 1.0131739031610576,
868
+ "learning_rate": 0.00017425897076502902,
869
+ "loss": 0.9403,
870
+ "step": 610
871
+ },
872
+ {
873
+ "epoch": 0.94,
874
+ "grad_norm": 1.351934812093798,
875
+ "learning_rate": 0.00017366100504380378,
876
+ "loss": 0.8876,
877
+ "step": 615
878
+ },
879
+ {
880
+ "epoch": 0.95,
881
+ "grad_norm": 1.0384035475562403,
882
+ "learning_rate": 0.00017305722485415882,
883
+ "loss": 0.9159,
884
+ "step": 620
885
+ },
886
+ {
887
+ "epoch": 0.95,
888
+ "grad_norm": 1.1416340076156324,
889
+ "learning_rate": 0.0001724476778557866,
890
+ "loss": 0.9358,
891
+ "step": 625
892
+ },
893
+ {
894
+ "epoch": 0.96,
895
+ "grad_norm": 1.3419613876196461,
896
+ "learning_rate": 0.00017183241216358553,
897
+ "loss": 0.9729,
898
+ "step": 630
899
+ },
900
+ {
901
+ "epoch": 0.97,
902
+ "grad_norm": 1.6092824682901703,
903
+ "learning_rate": 0.00017121147634386192,
904
+ "loss": 0.8965,
905
+ "step": 635
906
+ },
907
+ {
908
+ "epoch": 0.98,
909
+ "grad_norm": 0.8533351436444618,
910
+ "learning_rate": 0.00017058491941049649,
911
+ "loss": 0.8917,
912
+ "step": 640
913
+ },
914
+ {
915
+ "epoch": 0.98,
916
+ "grad_norm": 1.1738959779265217,
917
+ "learning_rate": 0.0001699527908210754,
918
+ "loss": 0.9366,
919
+ "step": 645
920
+ },
921
+ {
922
+ "epoch": 0.99,
923
+ "grad_norm": 1.0847553199067752,
924
+ "learning_rate": 0.0001693151404729862,
925
+ "loss": 0.9053,
926
+ "step": 650
927
+ },
928
+ {
929
+ "epoch": 1.0,
930
+ "grad_norm": 1.1087892770915242,
931
+ "learning_rate": 0.00016867201869947938,
932
+ "loss": 0.8945,
933
+ "step": 655
934
+ },
935
+ {
936
+ "epoch": 1.0,
937
+ "eval_loss": 1.2306770086288452,
938
+ "eval_runtime": 248.745,
939
+ "eval_samples_per_second": 9.287,
940
+ "eval_steps_per_second": 0.583,
941
+ "step": 655
942
+ },
943
+ {
944
+ "epoch": 1.01,
945
+ "grad_norm": 0.98970356590023,
946
+ "learning_rate": 0.00016802347626569501,
947
+ "loss": 0.8931,
948
+ "step": 660
949
+ },
950
+ {
951
+ "epoch": 1.01,
952
+ "grad_norm": 1.1038579119403917,
953
+ "learning_rate": 0.00016736956436465573,
954
+ "loss": 0.934,
955
+ "step": 665
956
+ },
957
+ {
958
+ "epoch": 1.02,
959
+ "grad_norm": 1.143467118458221,
960
+ "learning_rate": 0.00016671033461322583,
961
+ "loss": 0.8668,
962
+ "step": 670
963
+ },
964
+ {
965
+ "epoch": 1.03,
966
+ "grad_norm": 0.8924280436486196,
967
+ "learning_rate": 0.00016604583904803672,
968
+ "loss": 0.8548,
969
+ "step": 675
970
+ },
971
+ {
972
+ "epoch": 1.04,
973
+ "grad_norm": 1.1115437180292647,
974
+ "learning_rate": 0.0001653761301213795,
975
+ "loss": 0.9385,
976
+ "step": 680
977
+ },
978
+ {
979
+ "epoch": 1.05,
980
+ "grad_norm": 1.6438519669074836,
981
+ "learning_rate": 0.00016470126069706456,
982
+ "loss": 0.9406,
983
+ "step": 685
984
+ },
985
+ {
986
+ "epoch": 1.05,
987
+ "grad_norm": 1.0490682410760337,
988
+ "learning_rate": 0.00016402128404624882,
989
+ "loss": 0.9381,
990
+ "step": 690
991
+ },
992
+ {
993
+ "epoch": 1.06,
994
+ "grad_norm": 1.0451537501943204,
995
+ "learning_rate": 0.0001633362538432306,
996
+ "loss": 0.9113,
997
+ "step": 695
998
+ },
999
+ {
1000
+ "epoch": 1.07,
1001
+ "grad_norm": 0.9747283917774375,
1002
+ "learning_rate": 0.0001626462241612129,
1003
+ "loss": 0.9121,
1004
+ "step": 700
1005
+ },
1006
+ {
1007
+ "epoch": 1.08,
1008
+ "grad_norm": 1.084078539640254,
1009
+ "learning_rate": 0.00016195124946803525,
1010
+ "loss": 0.8831,
1011
+ "step": 705
1012
+ },
1013
+ {
1014
+ "epoch": 1.08,
1015
+ "grad_norm": 0.9719667527581831,
1016
+ "learning_rate": 0.00016125138462187396,
1017
+ "loss": 0.8436,
1018
+ "step": 710
1019
+ },
1020
+ {
1021
+ "epoch": 1.09,
1022
+ "grad_norm": 0.9935638920294466,
1023
+ "learning_rate": 0.00016054668486691203,
1024
+ "loss": 0.9196,
1025
+ "step": 715
1026
+ },
1027
+ {
1028
+ "epoch": 1.1,
1029
+ "grad_norm": 0.9417823234407828,
1030
+ "learning_rate": 0.00015983720582897853,
1031
+ "loss": 0.8577,
1032
+ "step": 720
1033
+ },
1034
+ {
1035
+ "epoch": 1.11,
1036
+ "grad_norm": 0.8915998902762848,
1037
+ "learning_rate": 0.0001591230035111576,
1038
+ "loss": 0.853,
1039
+ "step": 725
1040
+ },
1041
+ {
1042
+ "epoch": 1.11,
1043
+ "grad_norm": 1.01108160646832,
1044
+ "learning_rate": 0.00015840413428936767,
1045
+ "loss": 0.9148,
1046
+ "step": 730
1047
+ },
1048
+ {
1049
+ "epoch": 1.12,
1050
+ "grad_norm": 0.9944405742170609,
1051
+ "learning_rate": 0.00015768065490791183,
1052
+ "loss": 0.9151,
1053
+ "step": 735
1054
+ },
1055
+ {
1056
+ "epoch": 1.13,
1057
+ "grad_norm": 0.9869449635796341,
1058
+ "learning_rate": 0.0001569526224749983,
1059
+ "loss": 0.9144,
1060
+ "step": 740
1061
+ },
1062
+ {
1063
+ "epoch": 1.14,
1064
+ "grad_norm": 1.5578640706977607,
1065
+ "learning_rate": 0.00015622009445823273,
1066
+ "loss": 0.9241,
1067
+ "step": 745
1068
+ },
1069
+ {
1070
+ "epoch": 1.14,
1071
+ "grad_norm": 1.0818607624486927,
1072
+ "learning_rate": 0.00015548312868008196,
1073
+ "loss": 0.9123,
1074
+ "step": 750
1075
+ },
1076
+ {
1077
+ "epoch": 1.15,
1078
+ "grad_norm": 0.9747826539453109,
1079
+ "learning_rate": 0.0001547417833133097,
1080
+ "loss": 0.8666,
1081
+ "step": 755
1082
+ },
1083
+ {
1084
+ "epoch": 1.16,
1085
+ "grad_norm": 0.9965768127635756,
1086
+ "learning_rate": 0.00015399611687638473,
1087
+ "loss": 0.8808,
1088
+ "step": 760
1089
+ },
1090
+ {
1091
+ "epoch": 1.17,
1092
+ "grad_norm": 1.1911947572353123,
1093
+ "learning_rate": 0.00015324618822886165,
1094
+ "loss": 0.8824,
1095
+ "step": 765
1096
+ },
1097
+ {
1098
+ "epoch": 1.17,
1099
+ "grad_norm": 1.1537563580786732,
1100
+ "learning_rate": 0.00015249205656673483,
1101
+ "loss": 0.863,
1102
+ "step": 770
1103
+ },
1104
+ {
1105
+ "epoch": 1.18,
1106
+ "grad_norm": 1.0518456260292857,
1107
+ "learning_rate": 0.00015173378141776568,
1108
+ "loss": 0.8812,
1109
+ "step": 775
1110
+ },
1111
+ {
1112
+ "epoch": 1.19,
1113
+ "grad_norm": 1.387022437551768,
1114
+ "learning_rate": 0.00015097142263678382,
1115
+ "loss": 0.8835,
1116
+ "step": 780
1117
+ },
1118
+ {
1119
+ "epoch": 1.2,
1120
+ "grad_norm": 1.0408593407980289,
1121
+ "learning_rate": 0.0001502050404009624,
1122
+ "loss": 0.94,
1123
+ "step": 785
1124
+ },
1125
+ {
1126
+ "epoch": 1.21,
1127
+ "grad_norm": 0.9105554748085787,
1128
+ "learning_rate": 0.00014943469520506807,
1129
+ "loss": 0.9024,
1130
+ "step": 790
1131
+ },
1132
+ {
1133
+ "epoch": 1.21,
1134
+ "grad_norm": 1.0445125806761943,
1135
+ "learning_rate": 0.00014866044785668563,
1136
+ "loss": 0.8973,
1137
+ "step": 795
1138
+ },
1139
+ {
1140
+ "epoch": 1.22,
1141
+ "grad_norm": 1.0453562314924396,
1142
+ "learning_rate": 0.00014788235947141832,
1143
+ "loss": 0.9402,
1144
+ "step": 800
1145
+ },
1146
+ {
1147
+ "epoch": 1.23,
1148
+ "grad_norm": 0.9691509611927153,
1149
+ "learning_rate": 0.00014710049146806348,
1150
+ "loss": 0.8924,
1151
+ "step": 805
1152
+ },
1153
+ {
1154
+ "epoch": 1.24,
1155
+ "grad_norm": 1.1002288592485436,
1156
+ "learning_rate": 0.00014631490556376458,
1157
+ "loss": 0.8535,
1158
+ "step": 810
1159
+ },
1160
+ {
1161
+ "epoch": 1.24,
1162
+ "grad_norm": 1.0588060898797662,
1163
+ "learning_rate": 0.00014552566376913943,
1164
+ "loss": 0.9215,
1165
+ "step": 815
1166
+ },
1167
+ {
1168
+ "epoch": 1.25,
1169
+ "grad_norm": 1.1064064596494758,
1170
+ "learning_rate": 0.0001447328283833854,
1171
+ "loss": 0.8822,
1172
+ "step": 820
1173
+ },
1174
+ {
1175
+ "epoch": 1.26,
1176
+ "grad_norm": 0.9443323504920631,
1177
+ "learning_rate": 0.00014393646198936167,
1178
+ "loss": 0.8519,
1179
+ "step": 825
1180
+ },
1181
+ {
1182
+ "epoch": 1.27,
1183
+ "grad_norm": 1.0288834578773713,
1184
+ "learning_rate": 0.00014313662744864955,
1185
+ "loss": 0.8127,
1186
+ "step": 830
1187
+ },
1188
+ {
1189
+ "epoch": 1.27,
1190
+ "grad_norm": 0.9217642107444823,
1191
+ "learning_rate": 0.00014233338789659006,
1192
+ "loss": 0.9436,
1193
+ "step": 835
1194
+ },
1195
+ {
1196
+ "epoch": 1.28,
1197
+ "grad_norm": 1.1636504558701406,
1198
+ "learning_rate": 0.00014152680673730058,
1199
+ "loss": 0.8811,
1200
+ "step": 840
1201
+ },
1202
+ {
1203
+ "epoch": 1.29,
1204
+ "grad_norm": 1.0596219737156714,
1205
+ "learning_rate": 0.00014071694763866986,
1206
+ "loss": 0.9467,
1207
+ "step": 845
1208
+ },
1209
+ {
1210
+ "epoch": 1.3,
1211
+ "grad_norm": 1.2066959377309563,
1212
+ "learning_rate": 0.00013990387452733255,
1213
+ "loss": 0.8134,
1214
+ "step": 850
1215
+ },
1216
+ {
1217
+ "epoch": 1.3,
1218
+ "grad_norm": 1.0002794262680956,
1219
+ "learning_rate": 0.00013908765158362297,
1220
+ "loss": 0.8525,
1221
+ "step": 855
1222
+ },
1223
+ {
1224
+ "epoch": 1.31,
1225
+ "grad_norm": 0.9370583121034902,
1226
+ "learning_rate": 0.000138268343236509,
1227
+ "loss": 0.9415,
1228
+ "step": 860
1229
+ },
1230
+ {
1231
+ "epoch": 1.32,
1232
+ "grad_norm": 1.068438209489481,
1233
+ "learning_rate": 0.00013744601415850637,
1234
+ "loss": 0.8345,
1235
+ "step": 865
1236
+ },
1237
+ {
1238
+ "epoch": 1.33,
1239
+ "grad_norm": 1.0013512513559877,
1240
+ "learning_rate": 0.00013662072926057383,
1241
+ "loss": 0.9228,
1242
+ "step": 870
1243
+ },
1244
+ {
1245
+ "epoch": 1.33,
1246
+ "grad_norm": 1.1009082230050427,
1247
+ "learning_rate": 0.00013579255368698914,
1248
+ "loss": 0.8734,
1249
+ "step": 875
1250
+ },
1251
+ {
1252
+ "epoch": 1.34,
1253
+ "grad_norm": 0.9267504277577387,
1254
+ "learning_rate": 0.00013496155281020707,
1255
+ "loss": 0.883,
1256
+ "step": 880
1257
+ },
1258
+ {
1259
+ "epoch": 1.35,
1260
+ "grad_norm": 0.9055721244854339,
1261
+ "learning_rate": 0.00013412779222569908,
1262
+ "loss": 0.909,
1263
+ "step": 885
1264
+ },
1265
+ {
1266
+ "epoch": 1.36,
1267
+ "grad_norm": 1.0647099863896714,
1268
+ "learning_rate": 0.00013329133774677552,
1269
+ "loss": 0.8752,
1270
+ "step": 890
1271
+ },
1272
+ {
1273
+ "epoch": 1.37,
1274
+ "grad_norm": 1.0280795070472157,
1275
+ "learning_rate": 0.00013245225539939073,
1276
+ "loss": 0.846,
1277
+ "step": 895
1278
+ },
1279
+ {
1280
+ "epoch": 1.37,
1281
+ "grad_norm": 0.9768719689574438,
1282
+ "learning_rate": 0.0001316106114169311,
1283
+ "loss": 0.8497,
1284
+ "step": 900
1285
+ },
1286
+ {
1287
+ "epoch": 1.38,
1288
+ "grad_norm": 1.1309395586064876,
1289
+ "learning_rate": 0.00013076647223498702,
1290
+ "loss": 0.9077,
1291
+ "step": 905
1292
+ },
1293
+ {
1294
+ "epoch": 1.39,
1295
+ "grad_norm": 1.2045776660696499,
1296
+ "learning_rate": 0.0001299199044861086,
1297
+ "loss": 0.8688,
1298
+ "step": 910
1299
+ },
1300
+ {
1301
+ "epoch": 1.4,
1302
+ "grad_norm": 0.9841428220188774,
1303
+ "learning_rate": 0.0001290709749945463,
1304
+ "loss": 0.8629,
1305
+ "step": 915
1306
+ },
1307
+ {
1308
+ "epoch": 1.4,
1309
+ "grad_norm": 1.325435278640866,
1310
+ "learning_rate": 0.0001282197507709757,
1311
+ "loss": 0.8845,
1312
+ "step": 920
1313
+ },
1314
+ {
1315
+ "epoch": 1.41,
1316
+ "grad_norm": 1.001414834995417,
1317
+ "learning_rate": 0.0001273662990072083,
1318
+ "loss": 0.8362,
1319
+ "step": 925
1320
+ },
1321
+ {
1322
+ "epoch": 1.42,
1323
+ "grad_norm": 0.9850158774989259,
1324
+ "learning_rate": 0.00012651068707088766,
1325
+ "loss": 0.9111,
1326
+ "step": 930
1327
+ },
1328
+ {
1329
+ "epoch": 1.43,
1330
+ "grad_norm": 1.125415537788732,
1331
+ "learning_rate": 0.00012565298250017155,
1332
+ "loss": 0.8847,
1333
+ "step": 935
1334
+ },
1335
+ {
1336
+ "epoch": 1.43,
1337
+ "grad_norm": 0.9312415927403098,
1338
+ "learning_rate": 0.00012479325299840095,
1339
+ "loss": 0.8961,
1340
+ "step": 940
1341
+ },
1342
+ {
1343
+ "epoch": 1.44,
1344
+ "grad_norm": 1.0186566605726637,
1345
+ "learning_rate": 0.0001239315664287558,
1346
+ "loss": 0.9071,
1347
+ "step": 945
1348
+ },
1349
+ {
1350
+ "epoch": 1.45,
1351
+ "grad_norm": 0.9587942024148747,
1352
+ "learning_rate": 0.00012306799080889807,
1353
+ "loss": 0.8553,
1354
+ "step": 950
1355
+ },
1356
+ {
1357
+ "epoch": 1.46,
1358
+ "grad_norm": 1.0677123133883124,
1359
+ "learning_rate": 0.000122202594305603,
1360
+ "loss": 0.8459,
1361
+ "step": 955
1362
+ },
1363
+ {
1364
+ "epoch": 1.46,
1365
+ "grad_norm": 0.8807263375032743,
1366
+ "learning_rate": 0.00012133544522937805,
1367
+ "loss": 0.8544,
1368
+ "step": 960
1369
+ },
1370
+ {
1371
+ "epoch": 1.47,
1372
+ "grad_norm": 1.0893135979400062,
1373
+ "learning_rate": 0.00012046661202907101,
1374
+ "loss": 0.8967,
1375
+ "step": 965
1376
+ },
1377
+ {
1378
+ "epoch": 1.48,
1379
+ "grad_norm": 1.2654715562850305,
1380
+ "learning_rate": 0.00011959616328646678,
1381
+ "loss": 0.8554,
1382
+ "step": 970
1383
+ },
1384
+ {
1385
+ "epoch": 1.49,
1386
+ "grad_norm": 0.8250130976731411,
1387
+ "learning_rate": 0.00011872416771087395,
1388
+ "loss": 0.9238,
1389
+ "step": 975
1390
+ },
1391
+ {
1392
+ "epoch": 1.5,
1393
+ "grad_norm": 0.978527504635651,
1394
+ "learning_rate": 0.00011785069413370111,
1395
+ "loss": 0.8132,
1396
+ "step": 980
1397
+ },
1398
+ {
1399
+ "epoch": 1.5,
1400
+ "grad_norm": 0.9818769307982783,
1401
+ "learning_rate": 0.00011697581150302362,
1402
+ "loss": 0.8541,
1403
+ "step": 985
1404
+ },
1405
+ {
1406
+ "epoch": 1.51,
1407
+ "grad_norm": 0.951052968962308,
1408
+ "learning_rate": 0.00011609958887814129,
1409
+ "loss": 0.8814,
1410
+ "step": 990
1411
+ },
1412
+ {
1413
+ "epoch": 1.52,
1414
+ "grad_norm": 0.9722385611491896,
1415
+ "learning_rate": 0.00011522209542412696,
1416
+ "loss": 0.8814,
1417
+ "step": 995
1418
+ },
1419
+ {
1420
+ "epoch": 1.53,
1421
+ "grad_norm": 1.1517052356748192,
1422
+ "learning_rate": 0.00011434340040636704,
1423
+ "loss": 0.8906,
1424
+ "step": 1000
1425
+ },
1426
+ {
1427
+ "epoch": 1.53,
1428
+ "grad_norm": 0.9501728523383044,
1429
+ "learning_rate": 0.00011346357318509395,
1430
+ "loss": 0.8791,
1431
+ "step": 1005
1432
+ },
1433
+ {
1434
+ "epoch": 1.54,
1435
+ "grad_norm": 0.9615870877113771,
1436
+ "learning_rate": 0.00011258268320991119,
1437
+ "loss": 0.8547,
1438
+ "step": 1010
1439
+ },
1440
+ {
1441
+ "epoch": 1.55,
1442
+ "grad_norm": 1.1528161628232605,
1443
+ "learning_rate": 0.0001117008000143112,
1444
+ "loss": 0.8321,
1445
+ "step": 1015
1446
+ },
1447
+ {
1448
+ "epoch": 1.56,
1449
+ "grad_norm": 1.0959125037961595,
1450
+ "learning_rate": 0.00011081799321018695,
1451
+ "loss": 0.8782,
1452
+ "step": 1020
1453
+ },
1454
+ {
1455
+ "epoch": 1.56,
1456
+ "grad_norm": 1.1574849427468559,
1457
+ "learning_rate": 0.00010993433248233671,
1458
+ "loss": 0.8611,
1459
+ "step": 1025
1460
+ },
1461
+ {
1462
+ "epoch": 1.57,
1463
+ "grad_norm": 0.9005752589116309,
1464
+ "learning_rate": 0.0001090498875829638,
1465
+ "loss": 0.9169,
1466
+ "step": 1030
1467
+ },
1468
+ {
1469
+ "epoch": 1.58,
1470
+ "grad_norm": 0.9992289604264046,
1471
+ "learning_rate": 0.00010816472832617037,
1472
+ "loss": 0.8925,
1473
+ "step": 1035
1474
+ },
1475
+ {
1476
+ "epoch": 1.59,
1477
+ "grad_norm": 1.1498675103760203,
1478
+ "learning_rate": 0.00010727892458244686,
1479
+ "loss": 0.8942,
1480
+ "step": 1040
1481
+ },
1482
+ {
1483
+ "epoch": 1.59,
1484
+ "grad_norm": 0.9081946761117776,
1485
+ "learning_rate": 0.00010639254627315657,
1486
+ "loss": 0.8955,
1487
+ "step": 1045
1488
+ },
1489
+ {
1490
+ "epoch": 1.6,
1491
+ "grad_norm": 1.0275540701494208,
1492
+ "learning_rate": 0.00010550566336501637,
1493
+ "loss": 0.8442,
1494
+ "step": 1050
1495
+ },
1496
+ {
1497
+ "epoch": 1.61,
1498
+ "grad_norm": 0.9434351529699477,
1499
+ "learning_rate": 0.00010461834586457398,
1500
+ "loss": 0.9419,
1501
+ "step": 1055
1502
+ },
1503
+ {
1504
+ "epoch": 1.62,
1505
+ "grad_norm": 0.8829537272599468,
1506
+ "learning_rate": 0.0001037306638126818,
1507
+ "loss": 0.9257,
1508
+ "step": 1060
1509
+ },
1510
+ {
1511
+ "epoch": 1.62,
1512
+ "grad_norm": 1.1223033845867914,
1513
+ "learning_rate": 0.00010284268727896833,
1514
+ "loss": 0.9161,
1515
+ "step": 1065
1516
+ },
1517
+ {
1518
+ "epoch": 1.63,
1519
+ "grad_norm": 1.2421465538773482,
1520
+ "learning_rate": 0.00010195448635630708,
1521
+ "loss": 0.8701,
1522
+ "step": 1070
1523
+ },
1524
+ {
1525
+ "epoch": 1.64,
1526
+ "grad_norm": 1.1218568027877072,
1527
+ "learning_rate": 0.00010106613115528398,
1528
+ "loss": 0.9046,
1529
+ "step": 1075
1530
+ },
1531
+ {
1532
+ "epoch": 1.65,
1533
+ "grad_norm": 1.0337432513754021,
1534
+ "learning_rate": 0.00010017769179866279,
1535
+ "loss": 0.8609,
1536
+ "step": 1080
1537
+ },
1538
+ {
1539
+ "epoch": 1.66,
1540
+ "grad_norm": 0.8566019611964384,
1541
+ "learning_rate": 9.928923841585024e-05,
1542
+ "loss": 0.8153,
1543
+ "step": 1085
1544
+ },
1545
+ {
1546
+ "epoch": 1.66,
1547
+ "grad_norm": 0.9670758845502253,
1548
+ "learning_rate": 9.840084113736024e-05,
1549
+ "loss": 0.8968,
1550
+ "step": 1090
1551
+ },
1552
+ {
1553
+ "epoch": 1.67,
1554
+ "grad_norm": 0.8720532251402997,
1555
+ "learning_rate": 9.751257008927803e-05,
1556
+ "loss": 0.9142,
1557
+ "step": 1095
1558
+ },
1559
+ {
1560
+ "epoch": 1.68,
1561
+ "grad_norm": 1.005265233752645,
1562
+ "learning_rate": 9.66244953877248e-05,
1563
+ "loss": 0.8797,
1564
+ "step": 1100
1565
+ },
1566
+ {
1567
+ "epoch": 1.69,
1568
+ "grad_norm": 1.0788499372739098,
1569
+ "learning_rate": 9.573668713332304e-05,
1570
+ "loss": 0.8721,
1571
+ "step": 1105
1572
+ },
1573
+ {
1574
+ "epoch": 1.69,
1575
+ "grad_norm": 0.959383830376907,
1576
+ "learning_rate": 9.484921540566307e-05,
1577
+ "loss": 0.9281,
1578
+ "step": 1110
1579
+ },
1580
+ {
1581
+ "epoch": 1.7,
1582
+ "grad_norm": 0.9960816420866151,
1583
+ "learning_rate": 9.396215025777139e-05,
1584
+ "loss": 0.8946,
1585
+ "step": 1115
1586
+ },
1587
+ {
1588
+ "epoch": 1.71,
1589
+ "grad_norm": 0.9183171097472164,
1590
+ "learning_rate": 9.307556171058085e-05,
1591
+ "loss": 0.8727,
1592
+ "step": 1120
1593
+ },
1594
+ {
1595
+ "epoch": 1.72,
1596
+ "grad_norm": 0.9320733649944887,
1597
+ "learning_rate": 9.218951974740354e-05,
1598
+ "loss": 0.9172,
1599
+ "step": 1125
1600
+ },
1601
+ {
1602
+ "epoch": 1.72,
1603
+ "grad_norm": 0.8820875642651754,
1604
+ "learning_rate": 9.130409430840678e-05,
1605
+ "loss": 0.903,
1606
+ "step": 1130
1607
+ },
1608
+ {
1609
+ "epoch": 1.73,
1610
+ "grad_norm": 0.9886857168118836,
1611
+ "learning_rate": 9.041935528509216e-05,
1612
+ "loss": 0.919,
1613
+ "step": 1135
1614
+ },
1615
+ {
1616
+ "epoch": 1.74,
1617
+ "grad_norm": 1.0243023631867323,
1618
+ "learning_rate": 8.953537251477874e-05,
1619
+ "loss": 0.8972,
1620
+ "step": 1140
1621
+ },
1622
+ {
1623
+ "epoch": 1.75,
1624
+ "grad_norm": 1.0083372332679066,
1625
+ "learning_rate": 8.865221577509033e-05,
1626
+ "loss": 0.8922,
1627
+ "step": 1145
1628
+ },
1629
+ {
1630
+ "epoch": 1.75,
1631
+ "grad_norm": 1.0260814204564148,
1632
+ "learning_rate": 8.776995477844768e-05,
1633
+ "loss": 0.8516,
1634
+ "step": 1150
1635
+ },
1636
+ {
1637
+ "epoch": 1.76,
1638
+ "grad_norm": 0.8142375395224646,
1639
+ "learning_rate": 8.688865916656547e-05,
1640
+ "loss": 0.8484,
1641
+ "step": 1155
1642
+ },
1643
+ {
1644
+ "epoch": 1.77,
1645
+ "grad_norm": 1.0780009890850535,
1646
+ "learning_rate": 8.600839850495546e-05,
1647
+ "loss": 0.8693,
1648
+ "step": 1160
1649
+ },
1650
+ {
1651
+ "epoch": 1.78,
1652
+ "grad_norm": 1.34710148555113,
1653
+ "learning_rate": 8.512924227743481e-05,
1654
+ "loss": 0.8465,
1655
+ "step": 1165
1656
+ },
1657
+ {
1658
+ "epoch": 1.78,
1659
+ "grad_norm": 0.8023152238316216,
1660
+ "learning_rate": 8.425125988064197e-05,
1661
+ "loss": 0.8813,
1662
+ "step": 1170
1663
+ },
1664
+ {
1665
+ "epoch": 1.79,
1666
+ "grad_norm": 1.0380654418842252,
1667
+ "learning_rate": 8.337452061855814e-05,
1668
+ "loss": 0.9174,
1669
+ "step": 1175
1670
+ },
1671
+ {
1672
+ "epoch": 1.8,
1673
+ "grad_norm": 1.0726246573015967,
1674
+ "learning_rate": 8.249909369703728e-05,
1675
+ "loss": 0.8662,
1676
+ "step": 1180
1677
+ },
1678
+ {
1679
+ "epoch": 1.81,
1680
+ "grad_norm": 1.0278553172179552,
1681
+ "learning_rate": 8.162504821834295e-05,
1682
+ "loss": 0.8908,
1683
+ "step": 1185
1684
+ },
1685
+ {
1686
+ "epoch": 1.82,
1687
+ "grad_norm": 1.3072760509850052,
1688
+ "learning_rate": 8.075245317569395e-05,
1689
+ "loss": 0.8671,
1690
+ "step": 1190
1691
+ },
1692
+ {
1693
+ "epoch": 1.82,
1694
+ "grad_norm": 0.9627970898558489,
1695
+ "learning_rate": 7.988137744781805e-05,
1696
+ "loss": 0.8796,
1697
+ "step": 1195
1698
+ },
1699
+ {
1700
+ "epoch": 1.83,
1701
+ "grad_norm": 0.9715464599367558,
1702
+ "learning_rate": 7.901188979351526e-05,
1703
+ "loss": 0.8625,
1704
+ "step": 1200
1705
+ },
1706
+ {
1707
+ "epoch": 1.84,
1708
+ "grad_norm": 1.0848501852802424,
1709
+ "learning_rate": 7.814405884623011e-05,
1710
+ "loss": 0.855,
1711
+ "step": 1205
1712
+ },
1713
+ {
1714
+ "epoch": 1.85,
1715
+ "grad_norm": 0.9626487674718053,
1716
+ "learning_rate": 7.727795310863425e-05,
1717
+ "loss": 0.9057,
1718
+ "step": 1210
1719
+ },
1720
+ {
1721
+ "epoch": 1.85,
1722
+ "grad_norm": 0.8586177531466549,
1723
+ "learning_rate": 7.64136409472189e-05,
1724
+ "loss": 0.7599,
1725
+ "step": 1215
1726
+ },
1727
+ {
1728
+ "epoch": 1.86,
1729
+ "grad_norm": 0.9382983703101969,
1730
+ "learning_rate": 7.55511905868985e-05,
1731
+ "loss": 0.8729,
1732
+ "step": 1220
1733
+ },
1734
+ {
1735
+ "epoch": 1.87,
1736
+ "grad_norm": 1.0198546805846869,
1737
+ "learning_rate": 7.469067010562539e-05,
1738
+ "loss": 0.9047,
1739
+ "step": 1225
1740
+ },
1741
+ {
1742
+ "epoch": 1.88,
1743
+ "grad_norm": 1.027987716065299,
1744
+ "learning_rate": 7.383214742901573e-05,
1745
+ "loss": 0.8926,
1746
+ "step": 1230
1747
+ },
1748
+ {
1749
+ "epoch": 1.88,
1750
+ "grad_norm": 0.9910955347499838,
1751
+ "learning_rate": 7.297569032498817e-05,
1752
+ "loss": 0.9097,
1753
+ "step": 1235
1754
+ },
1755
+ {
1756
+ "epoch": 1.89,
1757
+ "grad_norm": 1.108145730506975,
1758
+ "learning_rate": 7.212136639841418e-05,
1759
+ "loss": 0.8127,
1760
+ "step": 1240
1761
+ },
1762
+ {
1763
+ "epoch": 1.9,
1764
+ "grad_norm": 0.78955284168565,
1765
+ "learning_rate": 7.126924308578196e-05,
1766
+ "loss": 0.9052,
1767
+ "step": 1245
1768
+ },
1769
+ {
1770
+ "epoch": 1.91,
1771
+ "grad_norm": 0.9172876708503183,
1772
+ "learning_rate": 7.041938764987297e-05,
1773
+ "loss": 0.8864,
1774
+ "step": 1250
1775
+ },
1776
+ {
1777
+ "epoch": 1.91,
1778
+ "grad_norm": 0.9468127168909404,
1779
+ "learning_rate": 6.957186717445283e-05,
1780
+ "loss": 0.8877,
1781
+ "step": 1255
1782
+ },
1783
+ {
1784
+ "epoch": 1.92,
1785
+ "grad_norm": 0.9264382383778683,
1786
+ "learning_rate": 6.872674855897581e-05,
1787
+ "loss": 0.8407,
1788
+ "step": 1260
1789
+ },
1790
+ {
1791
+ "epoch": 1.93,
1792
+ "grad_norm": 0.9055699868252433,
1793
+ "learning_rate": 6.788409851330418e-05,
1794
+ "loss": 0.9067,
1795
+ "step": 1265
1796
+ },
1797
+ {
1798
+ "epoch": 1.94,
1799
+ "grad_norm": 0.9776429485158797,
1800
+ "learning_rate": 6.704398355244237e-05,
1801
+ "loss": 0.8893,
1802
+ "step": 1270
1803
+ },
1804
+ {
1805
+ "epoch": 1.95,
1806
+ "grad_norm": 1.1033183037079404,
1807
+ "learning_rate": 6.620646999128668e-05,
1808
+ "loss": 0.919,
1809
+ "step": 1275
1810
+ },
1811
+ {
1812
+ "epoch": 1.95,
1813
+ "grad_norm": 0.8873640249636788,
1814
+ "learning_rate": 6.537162393939063e-05,
1815
+ "loss": 0.8226,
1816
+ "step": 1280
1817
+ },
1818
+ {
1819
+ "epoch": 1.96,
1820
+ "grad_norm": 1.0005367354469088,
1821
+ "learning_rate": 6.453951129574644e-05,
1822
+ "loss": 0.8982,
1823
+ "step": 1285
1824
+ },
1825
+ {
1826
+ "epoch": 1.97,
1827
+ "grad_norm": 0.9756199772914784,
1828
+ "learning_rate": 6.371019774358351e-05,
1829
+ "loss": 0.898,
1830
+ "step": 1290
1831
+ },
1832
+ {
1833
+ "epoch": 1.98,
1834
+ "grad_norm": 0.8573420891606421,
1835
+ "learning_rate": 6.288374874518348e-05,
1836
+ "loss": 0.8824,
1837
+ "step": 1295
1838
+ },
1839
+ {
1840
+ "epoch": 1.98,
1841
+ "grad_norm": 0.8314787002741244,
1842
+ "learning_rate": 6.206022953671303e-05,
1843
+ "loss": 0.8533,
1844
+ "step": 1300
1845
+ },
1846
+ {
1847
+ "epoch": 1.99,
1848
+ "grad_norm": 0.999256628643339,
1849
+ "learning_rate": 6.123970512307434e-05,
1850
+ "loss": 0.8766,
1851
+ "step": 1305
1852
+ },
1853
+ {
1854
+ "epoch": 2.0,
1855
+ "grad_norm": 1.020370445146433,
1856
+ "learning_rate": 6.042224027277403e-05,
1857
+ "loss": 0.8664,
1858
+ "step": 1310
1859
+ },
1860
+ {
1861
+ "epoch": 2.0,
1862
+ "eval_loss": 1.1823043823242188,
1863
+ "eval_runtime": 248.6275,
1864
+ "eval_samples_per_second": 9.291,
1865
+ "eval_steps_per_second": 0.583,
1866
+ "step": 1311
1867
+ },
1868
+ {
1869
+ "epoch": 2.01,
1870
+ "grad_norm": 0.9076519760868025,
1871
+ "learning_rate": 5.960789951281052e-05,
1872
+ "loss": 0.8506,
1873
+ "step": 1315
1874
+ },
1875
+ {
1876
+ "epoch": 2.01,
1877
+ "grad_norm": 0.8435077804141212,
1878
+ "learning_rate": 5.879674712358061e-05,
1879
+ "loss": 0.8293,
1880
+ "step": 1320
1881
+ },
1882
+ {
1883
+ "epoch": 2.02,
1884
+ "grad_norm": 1.2235293049079738,
1885
+ "learning_rate": 5.798884713380541e-05,
1886
+ "loss": 0.8727,
1887
+ "step": 1325
1888
+ },
1889
+ {
1890
+ "epoch": 2.03,
1891
+ "grad_norm": 0.982943334202588,
1892
+ "learning_rate": 5.718426331547626e-05,
1893
+ "loss": 0.8403,
1894
+ "step": 1330
1895
+ },
1896
+ {
1897
+ "epoch": 2.04,
1898
+ "grad_norm": 1.0225809341397019,
1899
+ "learning_rate": 5.638305917882093e-05,
1900
+ "loss": 0.825,
1901
+ "step": 1335
1902
+ },
1903
+ {
1904
+ "epoch": 2.04,
1905
+ "grad_norm": 1.0068602287969126,
1906
+ "learning_rate": 5.558529796729015e-05,
1907
+ "loss": 0.8253,
1908
+ "step": 1340
1909
+ },
1910
+ {
1911
+ "epoch": 2.05,
1912
+ "grad_norm": 0.8942997135434371,
1913
+ "learning_rate": 5.479104265256583e-05,
1914
+ "loss": 0.8093,
1915
+ "step": 1345
1916
+ },
1917
+ {
1918
+ "epoch": 2.06,
1919
+ "grad_norm": 0.919639915565314,
1920
+ "learning_rate": 5.4000355929589985e-05,
1921
+ "loss": 0.8736,
1922
+ "step": 1350
1923
+ },
1924
+ {
1925
+ "epoch": 2.07,
1926
+ "grad_norm": 0.9792431007986793,
1927
+ "learning_rate": 5.32133002116161e-05,
1928
+ "loss": 0.8134,
1929
+ "step": 1355
1930
+ },
1931
+ {
1932
+ "epoch": 2.07,
1933
+ "grad_norm": 0.9705003699468054,
1934
+ "learning_rate": 5.242993762528248e-05,
1935
+ "loss": 0.821,
1936
+ "step": 1360
1937
+ },
1938
+ {
1939
+ "epoch": 2.08,
1940
+ "grad_norm": 1.0687461433169771,
1941
+ "learning_rate": 5.165033000570825e-05,
1942
+ "loss": 0.8586,
1943
+ "step": 1365
1944
+ },
1945
+ {
1946
+ "epoch": 2.09,
1947
+ "grad_norm": 0.9864467254623525,
1948
+ "learning_rate": 5.087453889161229e-05,
1949
+ "loss": 0.7872,
1950
+ "step": 1370
1951
+ },
1952
+ {
1953
+ "epoch": 2.1,
1954
+ "grad_norm": 0.9022370559155457,
1955
+ "learning_rate": 5.010262552045573e-05,
1956
+ "loss": 0.8145,
1957
+ "step": 1375
1958
+ },
1959
+ {
1960
+ "epoch": 2.11,
1961
+ "grad_norm": 0.8356213372223533,
1962
+ "learning_rate": 4.933465082360807e-05,
1963
+ "loss": 0.8521,
1964
+ "step": 1380
1965
+ },
1966
+ {
1967
+ "epoch": 2.11,
1968
+ "grad_norm": 1.0182132748957182,
1969
+ "learning_rate": 4.857067542153768e-05,
1970
+ "loss": 0.8567,
1971
+ "step": 1385
1972
+ },
1973
+ {
1974
+ "epoch": 2.12,
1975
+ "grad_norm": 1.086022764305583,
1976
+ "learning_rate": 4.781075961902656e-05,
1977
+ "loss": 0.804,
1978
+ "step": 1390
1979
+ },
1980
+ {
1981
+ "epoch": 2.13,
1982
+ "grad_norm": 1.0333147014472928,
1983
+ "learning_rate": 4.705496340041009e-05,
1984
+ "loss": 0.8119,
1985
+ "step": 1395
1986
+ },
1987
+ {
1988
+ "epoch": 2.14,
1989
+ "grad_norm": 1.0968659156489957,
1990
+ "learning_rate": 4.630334642484231e-05,
1991
+ "loss": 0.8434,
1992
+ "step": 1400
1993
+ },
1994
+ {
1995
+ "epoch": 2.14,
1996
+ "grad_norm": 1.1297383258429818,
1997
+ "learning_rate": 4.555596802158653e-05,
1998
+ "loss": 0.8388,
1999
+ "step": 1405
2000
+ },
2001
+ {
2002
+ "epoch": 2.15,
2003
+ "grad_norm": 0.9894862065125212,
2004
+ "learning_rate": 4.481288718533238e-05,
2005
+ "loss": 0.8457,
2006
+ "step": 1410
2007
+ },
2008
+ {
2009
+ "epoch": 2.16,
2010
+ "grad_norm": 1.0086593655810214,
2011
+ "learning_rate": 4.407416257153872e-05,
2012
+ "loss": 0.8452,
2013
+ "step": 1415
2014
+ },
2015
+ {
2016
+ "epoch": 2.17,
2017
+ "grad_norm": 1.077271484795884,
2018
+ "learning_rate": 4.33398524918039e-05,
2019
+ "loss": 0.8307,
2020
+ "step": 1420
2021
+ },
2022
+ {
2023
+ "epoch": 2.17,
2024
+ "grad_norm": 1.101473877979803,
2025
+ "learning_rate": 4.261001490926272e-05,
2026
+ "loss": 0.8228,
2027
+ "step": 1425
2028
+ },
2029
+ {
2030
+ "epoch": 2.18,
2031
+ "grad_norm": 1.1024756868438783,
2032
+ "learning_rate": 4.1884707434011295e-05,
2033
+ "loss": 0.8455,
2034
+ "step": 1430
2035
+ },
2036
+ {
2037
+ "epoch": 2.19,
2038
+ "grad_norm": 0.9596705868289979,
2039
+ "learning_rate": 4.116398731855934e-05,
2040
+ "loss": 0.8429,
2041
+ "step": 1435
2042
+ },
2043
+ {
2044
+ "epoch": 2.2,
2045
+ "grad_norm": 1.0578699242751421,
2046
+ "learning_rate": 4.044791145331105e-05,
2047
+ "loss": 0.7775,
2048
+ "step": 1440
2049
+ },
2050
+ {
2051
+ "epoch": 2.2,
2052
+ "grad_norm": 0.8551950143576533,
2053
+ "learning_rate": 3.973653636207437e-05,
2054
+ "loss": 0.8328,
2055
+ "step": 1445
2056
+ },
2057
+ {
2058
+ "epoch": 2.21,
2059
+ "grad_norm": 1.071052415435941,
2060
+ "learning_rate": 3.902991819759937e-05,
2061
+ "loss": 0.8459,
2062
+ "step": 1450
2063
+ },
2064
+ {
2065
+ "epoch": 2.22,
2066
+ "grad_norm": 1.0178868820951739,
2067
+ "learning_rate": 3.832811273714569e-05,
2068
+ "loss": 0.8003,
2069
+ "step": 1455
2070
+ },
2071
+ {
2072
+ "epoch": 2.23,
2073
+ "grad_norm": 1.0388700331104954,
2074
+ "learning_rate": 3.763117537807972e-05,
2075
+ "loss": 0.8579,
2076
+ "step": 1460
2077
+ },
2078
+ {
2079
+ "epoch": 2.23,
2080
+ "grad_norm": 0.9885214128911158,
2081
+ "learning_rate": 3.693916113350182e-05,
2082
+ "loss": 0.8114,
2083
+ "step": 1465
2084
+ },
2085
+ {
2086
+ "epoch": 2.24,
2087
+ "grad_norm": 0.9507588869671092,
2088
+ "learning_rate": 3.625212462790385e-05,
2089
+ "loss": 0.7656,
2090
+ "step": 1470
2091
+ },
2092
+ {
2093
+ "epoch": 2.25,
2094
+ "grad_norm": 1.033384131735441,
2095
+ "learning_rate": 3.55701200928574e-05,
2096
+ "loss": 0.7871,
2097
+ "step": 1475
2098
+ },
2099
+ {
2100
+ "epoch": 2.26,
2101
+ "grad_norm": 0.9158523594001913,
2102
+ "learning_rate": 3.489320136273288e-05,
2103
+ "loss": 0.8385,
2104
+ "step": 1480
2105
+ },
2106
+ {
2107
+ "epoch": 2.27,
2108
+ "grad_norm": 1.0861208797350566,
2109
+ "learning_rate": 3.422142187045011e-05,
2110
+ "loss": 0.8296,
2111
+ "step": 1485
2112
+ },
2113
+ {
2114
+ "epoch": 2.27,
2115
+ "grad_norm": 1.0108364033236483,
2116
+ "learning_rate": 3.3554834643260624e-05,
2117
+ "loss": 0.8405,
2118
+ "step": 1490
2119
+ },
2120
+ {
2121
+ "epoch": 2.28,
2122
+ "grad_norm": 1.017348028808686,
2123
+ "learning_rate": 3.289349229856197e-05,
2124
+ "loss": 0.8041,
2125
+ "step": 1495
2126
+ },
2127
+ {
2128
+ "epoch": 2.29,
2129
+ "grad_norm": 0.9720934709242245,
2130
+ "learning_rate": 3.223744703974413e-05,
2131
+ "loss": 0.8477,
2132
+ "step": 1500
2133
+ },
2134
+ {
2135
+ "epoch": 2.3,
2136
+ "grad_norm": 1.0491113172636481,
2137
+ "learning_rate": 3.1586750652069074e-05,
2138
+ "loss": 0.8455,
2139
+ "step": 1505
2140
+ },
2141
+ {
2142
+ "epoch": 2.3,
2143
+ "grad_norm": 0.969350149657045,
2144
+ "learning_rate": 3.094145449858285e-05,
2145
+ "loss": 0.8373,
2146
+ "step": 1510
2147
+ },
2148
+ {
2149
+ "epoch": 2.31,
2150
+ "grad_norm": 1.1292836391329433,
2151
+ "learning_rate": 3.030160951606138e-05,
2152
+ "loss": 0.8265,
2153
+ "step": 1515
2154
+ },
2155
+ {
2156
+ "epoch": 2.32,
2157
+ "grad_norm": 1.1377550753616885,
2158
+ "learning_rate": 2.966726621098963e-05,
2159
+ "loss": 0.8724,
2160
+ "step": 1520
2161
+ },
2162
+ {
2163
+ "epoch": 2.33,
2164
+ "grad_norm": 0.9248650902738645,
2165
+ "learning_rate": 2.9038474655574897e-05,
2166
+ "loss": 0.8247,
2167
+ "step": 1525
2168
+ },
2169
+ {
2170
+ "epoch": 2.33,
2171
+ "grad_norm": 1.24903061509406,
2172
+ "learning_rate": 2.84152844837943e-05,
2173
+ "loss": 0.8407,
2174
+ "step": 1530
2175
+ },
2176
+ {
2177
+ "epoch": 2.34,
2178
+ "grad_norm": 0.9300456009720597,
2179
+ "learning_rate": 2.779774488747704e-05,
2180
+ "loss": 0.8017,
2181
+ "step": 1535
2182
+ },
2183
+ {
2184
+ "epoch": 2.35,
2185
+ "grad_norm": 0.9247283493036916,
2186
+ "learning_rate": 2.7185904612421176e-05,
2187
+ "loss": 0.7873,
2188
+ "step": 1540
2189
+ },
2190
+ {
2191
+ "epoch": 2.36,
2192
+ "grad_norm": 0.984266641348006,
2193
+ "learning_rate": 2.6579811954546052e-05,
2194
+ "loss": 0.8231,
2195
+ "step": 1545
2196
+ },
2197
+ {
2198
+ "epoch": 2.36,
2199
+ "grad_norm": 1.0283812513796944,
2200
+ "learning_rate": 2.5979514756079914e-05,
2201
+ "loss": 0.8149,
2202
+ "step": 1550
2203
+ },
2204
+ {
2205
+ "epoch": 2.37,
2206
+ "grad_norm": 1.1106242321896724,
2207
+ "learning_rate": 2.5385060401783566e-05,
2208
+ "loss": 0.8276,
2209
+ "step": 1555
2210
+ },
2211
+ {
2212
+ "epoch": 2.38,
2213
+ "grad_norm": 0.9567893029629212,
2214
+ "learning_rate": 2.4796495815209996e-05,
2215
+ "loss": 0.816,
2216
+ "step": 1560
2217
+ },
2218
+ {
2219
+ "epoch": 2.39,
2220
+ "grad_norm": 1.0867782224252835,
2221
+ "learning_rate": 2.4213867455000338e-05,
2222
+ "loss": 0.892,
2223
+ "step": 1565
2224
+ },
2225
+ {
2226
+ "epoch": 2.4,
2227
+ "grad_norm": 1.1389935740624955,
2228
+ "learning_rate": 2.363722131121675e-05,
2229
+ "loss": 0.8478,
2230
+ "step": 1570
2231
+ },
2232
+ {
2233
+ "epoch": 2.4,
2234
+ "grad_norm": 0.9718824376096208,
2235
+ "learning_rate": 2.3066602901712108e-05,
2236
+ "loss": 0.8496,
2237
+ "step": 1575
2238
+ },
2239
+ {
2240
+ "epoch": 2.41,
2241
+ "grad_norm": 1.1771964742364636,
2242
+ "learning_rate": 2.2502057268537137e-05,
2243
+ "loss": 0.8449,
2244
+ "step": 1580
2245
+ },
2246
+ {
2247
+ "epoch": 2.42,
2248
+ "grad_norm": 1.4160024538664562,
2249
+ "learning_rate": 2.1943628974384857e-05,
2250
+ "loss": 0.8491,
2251
+ "step": 1585
2252
+ },
2253
+ {
2254
+ "epoch": 2.43,
2255
+ "grad_norm": 1.0415796126412569,
2256
+ "learning_rate": 2.1391362099073032e-05,
2257
+ "loss": 0.802,
2258
+ "step": 1590
2259
+ },
2260
+ {
2261
+ "epoch": 2.43,
2262
+ "grad_norm": 0.8715990916453478,
2263
+ "learning_rate": 2.0845300236064757e-05,
2264
+ "loss": 0.8696,
2265
+ "step": 1595
2266
+ },
2267
+ {
2268
+ "epoch": 2.44,
2269
+ "grad_norm": 1.049043541881097,
2270
+ "learning_rate": 2.0305486489027424e-05,
2271
+ "loss": 0.8302,
2272
+ "step": 1600
2273
+ },
2274
+ {
2275
+ "epoch": 2.45,
2276
+ "grad_norm": 0.9586867830799501,
2277
+ "learning_rate": 1.9771963468430187e-05,
2278
+ "loss": 0.8173,
2279
+ "step": 1605
2280
+ },
2281
+ {
2282
+ "epoch": 2.46,
2283
+ "grad_norm": 1.0529652964302254,
2284
+ "learning_rate": 1.924477328818054e-05,
2285
+ "loss": 0.8617,
2286
+ "step": 1610
2287
+ },
2288
+ {
2289
+ "epoch": 2.46,
2290
+ "grad_norm": 1.0449868664649247,
2291
+ "learning_rate": 1.8723957562300133e-05,
2292
+ "loss": 0.8291,
2293
+ "step": 1615
2294
+ },
2295
+ {
2296
+ "epoch": 2.47,
2297
+ "grad_norm": 1.0564336584456713,
2298
+ "learning_rate": 1.8209557401639732e-05,
2299
+ "loss": 0.8175,
2300
+ "step": 1620
2301
+ },
2302
+ {
2303
+ "epoch": 2.48,
2304
+ "grad_norm": 0.9643616639994842,
2305
+ "learning_rate": 1.7701613410634365e-05,
2306
+ "loss": 0.7645,
2307
+ "step": 1625
2308
+ },
2309
+ {
2310
+ "epoch": 2.49,
2311
+ "grad_norm": 1.1870712950124547,
2312
+ "learning_rate": 1.720016568409799e-05,
2313
+ "loss": 0.8509,
2314
+ "step": 1630
2315
+ },
2316
+ {
2317
+ "epoch": 2.49,
2318
+ "grad_norm": 1.06154190477567,
2319
+ "learning_rate": 1.6705253804058675e-05,
2320
+ "loss": 0.8725,
2321
+ "step": 1635
2322
+ },
2323
+ {
2324
+ "epoch": 2.5,
2325
+ "grad_norm": 1.0388956977852164,
2326
+ "learning_rate": 1.621691683663418e-05,
2327
+ "loss": 0.8139,
2328
+ "step": 1640
2329
+ },
2330
+ {
2331
+ "epoch": 2.51,
2332
+ "grad_norm": 1.0678593249410824,
2333
+ "learning_rate": 1.573519332894824e-05,
2334
+ "loss": 0.7882,
2335
+ "step": 1645
2336
+ },
2337
+ {
2338
+ "epoch": 2.52,
2339
+ "grad_norm": 1.0504305711608912,
2340
+ "learning_rate": 1.5260121306087828e-05,
2341
+ "loss": 0.8289,
2342
+ "step": 1650
2343
+ },
2344
+ {
2345
+ "epoch": 2.52,
2346
+ "grad_norm": 1.039744935641794,
2347
+ "learning_rate": 1.4791738268101584e-05,
2348
+ "loss": 0.7841,
2349
+ "step": 1655
2350
+ },
2351
+ {
2352
+ "epoch": 2.53,
2353
+ "grad_norm": 1.0672936964776525,
2354
+ "learning_rate": 1.433008118703979e-05,
2355
+ "loss": 0.7895,
2356
+ "step": 1660
2357
+ },
2358
+ {
2359
+ "epoch": 2.54,
2360
+ "grad_norm": 1.095135634651846,
2361
+ "learning_rate": 1.3875186504035965e-05,
2362
+ "loss": 0.8143,
2363
+ "step": 1665
2364
+ },
2365
+ {
2366
+ "epoch": 2.55,
2367
+ "grad_norm": 1.0672595953625994,
2368
+ "learning_rate": 1.3427090126430342e-05,
2369
+ "loss": 0.8258,
2370
+ "step": 1670
2371
+ },
2372
+ {
2373
+ "epoch": 2.56,
2374
+ "grad_norm": 1.0487848694270845,
2375
+ "learning_rate": 1.298582742493546e-05,
2376
+ "loss": 0.8433,
2377
+ "step": 1675
2378
+ },
2379
+ {
2380
+ "epoch": 2.56,
2381
+ "grad_norm": 0.8678608016330454,
2382
+ "learning_rate": 1.2551433230844224e-05,
2383
+ "loss": 0.7898,
2384
+ "step": 1680
2385
+ },
2386
+ {
2387
+ "epoch": 2.57,
2388
+ "grad_norm": 0.929677257792853,
2389
+ "learning_rate": 1.2123941833280473e-05,
2390
+ "loss": 0.7707,
2391
+ "step": 1685
2392
+ },
2393
+ {
2394
+ "epoch": 2.58,
2395
+ "grad_norm": 1.0288546508719252,
2396
+ "learning_rate": 1.1703386976492337e-05,
2397
+ "loss": 0.8115,
2398
+ "step": 1690
2399
+ },
2400
+ {
2401
+ "epoch": 2.59,
2402
+ "grad_norm": 0.9439251135887912,
2403
+ "learning_rate": 1.1289801857188587e-05,
2404
+ "loss": 0.8584,
2405
+ "step": 1695
2406
+ },
2407
+ {
2408
+ "epoch": 2.59,
2409
+ "grad_norm": 0.9292081088950934,
2410
+ "learning_rate": 1.0883219121918265e-05,
2411
+ "loss": 0.8164,
2412
+ "step": 1700
2413
+ },
2414
+ {
2415
+ "epoch": 2.6,
2416
+ "grad_norm": 0.9421757462427118,
2417
+ "learning_rate": 1.0483670864493778e-05,
2418
+ "loss": 0.795,
2419
+ "step": 1705
2420
+ },
2421
+ {
2422
+ "epoch": 2.61,
2423
+ "grad_norm": 0.999919346225195,
2424
+ "learning_rate": 1.0091188623457415e-05,
2425
+ "loss": 0.8184,
2426
+ "step": 1710
2427
+ },
2428
+ {
2429
+ "epoch": 2.62,
2430
+ "grad_norm": 0.9742832828955831,
2431
+ "learning_rate": 9.70580337959196e-06,
2432
+ "loss": 0.8299,
2433
+ "step": 1715
2434
+ },
2435
+ {
2436
+ "epoch": 2.62,
2437
+ "grad_norm": 0.9089507431330445,
2438
+ "learning_rate": 9.327545553475114e-06,
2439
+ "loss": 0.7723,
2440
+ "step": 1720
2441
+ },
2442
+ {
2443
+ "epoch": 2.63,
2444
+ "grad_norm": 0.9732825474788489,
2445
+ "learning_rate": 8.95644500307835e-06,
2446
+ "loss": 0.8501,
2447
+ "step": 1725
2448
+ },
2449
+ {
2450
+ "epoch": 2.64,
2451
+ "grad_norm": 0.9960143529194506,
2452
+ "learning_rate": 8.592531021409945e-06,
2453
+ "loss": 0.9096,
2454
+ "step": 1730
2455
+ },
2456
+ {
2457
+ "epoch": 2.65,
2458
+ "grad_norm": 0.9339895800344439,
2459
+ "learning_rate": 8.235832334202776e-06,
2460
+ "loss": 0.8828,
2461
+ "step": 1735
2462
+ },
2463
+ {
2464
+ "epoch": 2.65,
2465
+ "grad_norm": 1.056692915239154,
2466
+ "learning_rate": 7.886377097646792e-06,
2467
+ "loss": 0.8749,
2468
+ "step": 1740
2469
+ },
2470
+ {
2471
+ "epoch": 2.66,
2472
+ "grad_norm": 0.9711524416206577,
2473
+ "learning_rate": 7.544192896166568e-06,
2474
+ "loss": 0.815,
2475
+ "step": 1745
2476
+ },
2477
+ {
2478
+ "epoch": 2.67,
2479
+ "grad_norm": 1.0985213550852182,
2480
+ "learning_rate": 7.209306740243893e-06,
2481
+ "loss": 0.8256,
2482
+ "step": 1750
2483
+ },
2484
+ {
2485
+ "epoch": 2.68,
2486
+ "grad_norm": 1.0441483688013498,
2487
+ "learning_rate": 6.881745064285617e-06,
2488
+ "loss": 0.8083,
2489
+ "step": 1755
2490
+ },
2491
+ {
2492
+ "epoch": 2.68,
2493
+ "grad_norm": 0.9998637235645016,
2494
+ "learning_rate": 6.561533724537095e-06,
2495
+ "loss": 0.8116,
2496
+ "step": 1760
2497
+ },
2498
+ {
2499
+ "epoch": 2.69,
2500
+ "grad_norm": 1.1263808784059275,
2501
+ "learning_rate": 6.248697997041219e-06,
2502
+ "loss": 0.811,
2503
+ "step": 1765
2504
+ },
2505
+ {
2506
+ "epoch": 2.7,
2507
+ "grad_norm": 0.9529944445283575,
2508
+ "learning_rate": 5.943262575643238e-06,
2509
+ "loss": 0.8225,
2510
+ "step": 1770
2511
+ },
2512
+ {
2513
+ "epoch": 2.71,
2514
+ "grad_norm": 0.9459961315540705,
2515
+ "learning_rate": 5.645251570041488e-06,
2516
+ "loss": 0.7937,
2517
+ "step": 1775
2518
+ },
2519
+ {
2520
+ "epoch": 2.72,
2521
+ "grad_norm": 0.9556679665444172,
2522
+ "learning_rate": 5.354688503884342e-06,
2523
+ "loss": 0.8109,
2524
+ "step": 1780
2525
+ },
2526
+ {
2527
+ "epoch": 2.72,
2528
+ "grad_norm": 1.162754539840243,
2529
+ "learning_rate": 5.071596312913329e-06,
2530
+ "loss": 0.8337,
2531
+ "step": 1785
2532
+ },
2533
+ {
2534
+ "epoch": 2.73,
2535
+ "grad_norm": 0.987118403127622,
2536
+ "learning_rate": 4.79599734315267e-06,
2537
+ "loss": 0.8208,
2538
+ "step": 1790
2539
+ },
2540
+ {
2541
+ "epoch": 2.74,
2542
+ "grad_norm": 1.0185381683595645,
2543
+ "learning_rate": 4.527913349145441e-06,
2544
+ "loss": 0.7854,
2545
+ "step": 1795
2546
+ },
2547
+ {
2548
+ "epoch": 2.75,
2549
+ "grad_norm": 1.036855323975471,
2550
+ "learning_rate": 4.267365492236319e-06,
2551
+ "loss": 0.8138,
2552
+ "step": 1800
2553
+ },
2554
+ {
2555
+ "epoch": 2.75,
2556
+ "grad_norm": 0.906565660746568,
2557
+ "learning_rate": 4.014374338901206e-06,
2558
+ "loss": 0.782,
2559
+ "step": 1805
2560
+ },
2561
+ {
2562
+ "epoch": 2.76,
2563
+ "grad_norm": 0.9770509541103689,
2564
+ "learning_rate": 3.768959859123822e-06,
2565
+ "loss": 0.8191,
2566
+ "step": 1810
2567
+ },
2568
+ {
2569
+ "epoch": 2.77,
2570
+ "grad_norm": 1.0486391035448164,
2571
+ "learning_rate": 3.531141424819373e-06,
2572
+ "loss": 0.8603,
2573
+ "step": 1815
2574
+ },
2575
+ {
2576
+ "epoch": 2.78,
2577
+ "grad_norm": 1.0773318638652334,
2578
+ "learning_rate": 3.300937808305371e-06,
2579
+ "loss": 0.8521,
2580
+ "step": 1820
2581
+ },
2582
+ {
2583
+ "epoch": 2.78,
2584
+ "grad_norm": 0.985804357345318,
2585
+ "learning_rate": 3.0783671808198635e-06,
2586
+ "loss": 0.8141,
2587
+ "step": 1825
2588
+ },
2589
+ {
2590
+ "epoch": 2.79,
2591
+ "grad_norm": 1.1529169013999445,
2592
+ "learning_rate": 2.8634471110871032e-06,
2593
+ "loss": 0.7832,
2594
+ "step": 1830
2595
+ },
2596
+ {
2597
+ "epoch": 2.8,
2598
+ "grad_norm": 0.9031631771021017,
2599
+ "learning_rate": 2.656194563930714e-06,
2600
+ "loss": 0.8585,
2601
+ "step": 1835
2602
+ },
2603
+ {
2604
+ "epoch": 2.81,
2605
+ "grad_norm": 0.8637751952649739,
2606
+ "learning_rate": 2.4566258989345726e-06,
2607
+ "loss": 0.7996,
2608
+ "step": 1840
2609
+ },
2610
+ {
2611
+ "epoch": 2.81,
2612
+ "grad_norm": 1.0164681340381803,
2613
+ "learning_rate": 2.264756869151441e-06,
2614
+ "loss": 0.8044,
2615
+ "step": 1845
2616
+ },
2617
+ {
2618
+ "epoch": 2.82,
2619
+ "grad_norm": 1.0556120127779176,
2620
+ "learning_rate": 2.0806026198595173e-06,
2621
+ "loss": 0.7943,
2622
+ "step": 1850
2623
+ },
2624
+ {
2625
+ "epoch": 2.83,
2626
+ "grad_norm": 1.1048150934514633,
2627
+ "learning_rate": 1.9041776873669704e-06,
2628
+ "loss": 0.8225,
2629
+ "step": 1855
2630
+ },
2631
+ {
2632
+ "epoch": 2.84,
2633
+ "grad_norm": 0.9507298133478834,
2634
+ "learning_rate": 1.7354959978644225e-06,
2635
+ "loss": 0.8107,
2636
+ "step": 1860
2637
+ },
2638
+ {
2639
+ "epoch": 2.85,
2640
+ "grad_norm": 1.1226388926103825,
2641
+ "learning_rate": 1.5745708663257197e-06,
2642
+ "loss": 0.8282,
2643
+ "step": 1865
2644
+ },
2645
+ {
2646
+ "epoch": 2.85,
2647
+ "grad_norm": 0.929914623001807,
2648
+ "learning_rate": 1.4214149954569268e-06,
2649
+ "loss": 0.7743,
2650
+ "step": 1870
2651
+ },
2652
+ {
2653
+ "epoch": 2.86,
2654
+ "grad_norm": 0.8451615970437887,
2655
+ "learning_rate": 1.2760404746936183e-06,
2656
+ "loss": 0.799,
2657
+ "step": 1875
2658
+ },
2659
+ {
2660
+ "epoch": 2.87,
2661
+ "grad_norm": 0.9722281685095321,
2662
+ "learning_rate": 1.1384587792465872e-06,
2663
+ "loss": 0.8559,
2664
+ "step": 1880
2665
+ },
2666
+ {
2667
+ "epoch": 2.88,
2668
+ "grad_norm": 0.9340387136482731,
2669
+ "learning_rate": 1.0086807691960244e-06,
2670
+ "loss": 0.822,
2671
+ "step": 1885
2672
+ },
2673
+ {
2674
+ "epoch": 2.88,
2675
+ "grad_norm": 0.9046388002266489,
2676
+ "learning_rate": 8.867166886343592e-07,
2677
+ "loss": 0.8384,
2678
+ "step": 1890
2679
+ },
2680
+ {
2681
+ "epoch": 2.89,
2682
+ "grad_norm": 0.9601062532338479,
2683
+ "learning_rate": 7.725761648574969e-07,
2684
+ "loss": 0.8342,
2685
+ "step": 1895
2686
+ },
2687
+ {
2688
+ "epoch": 2.9,
2689
+ "grad_norm": 0.99460636173352,
2690
+ "learning_rate": 6.662682076050031e-07,
2691
+ "loss": 0.8721,
2692
+ "step": 1900
2693
+ },
2694
+ {
2695
+ "epoch": 2.91,
2696
+ "grad_norm": 0.9721186202775147,
2697
+ "learning_rate": 5.678012083488727e-07,
2698
+ "loss": 0.8559,
2699
+ "step": 1905
2700
+ },
2701
+ {
2702
+ "epoch": 2.91,
2703
+ "grad_norm": 1.2579065537174423,
2704
+ "learning_rate": 4.771829396311267e-07,
2705
+ "loss": 0.7897,
2706
+ "step": 1910
2707
+ },
2708
+ {
2709
+ "epoch": 2.92,
2710
+ "grad_norm": 1.011827783498998,
2711
+ "learning_rate": 3.9442055445029214e-07,
2712
+ "loss": 0.7987,
2713
+ "step": 1915
2714
+ },
2715
+ {
2716
+ "epoch": 2.93,
2717
+ "grad_norm": 1.133610710351972,
2718
+ "learning_rate": 3.1952058569681975e-07,
2719
+ "loss": 0.8083,
2720
+ "step": 1920
2721
+ },
2722
+ {
2723
+ "epoch": 2.94,
2724
+ "grad_norm": 0.9463613366312343,
2725
+ "learning_rate": 2.5248894563735247e-07,
2726
+ "loss": 0.848,
2727
+ "step": 1925
2728
+ },
2729
+ {
2730
+ "epoch": 2.94,
2731
+ "grad_norm": 1.0867623661570065,
2732
+ "learning_rate": 1.933309254480542e-07,
2733
+ "loss": 0.83,
2734
+ "step": 1930
2735
+ },
2736
+ {
2737
+ "epoch": 2.95,
2738
+ "grad_norm": 0.8980549292174614,
2739
+ "learning_rate": 1.4205119479693274e-07,
2740
+ "loss": 0.8238,
2741
+ "step": 1935
2742
+ },
2743
+ {
2744
+ "epoch": 2.96,
2745
+ "grad_norm": 0.8870015504798887,
2746
+ "learning_rate": 9.865380147530134e-08,
2747
+ "loss": 0.8323,
2748
+ "step": 1940
2749
+ },
2750
+ {
2751
+ "epoch": 2.97,
2752
+ "grad_norm": 1.1236359515597645,
2753
+ "learning_rate": 6.314217107817877e-08,
2754
+ "loss": 0.8563,
2755
+ "step": 1945
2756
+ },
2757
+ {
2758
+ "epoch": 2.97,
2759
+ "grad_norm": 1.0317942271237952,
2760
+ "learning_rate": 3.551910673394998e-08,
2761
+ "loss": 0.851,
2762
+ "step": 1950
2763
+ },
2764
+ {
2765
+ "epoch": 2.98,
2766
+ "grad_norm": 1.0177460190731211,
2767
+ "learning_rate": 1.5786788883065394e-08,
2768
+ "loss": 0.8421,
2769
+ "step": 1955
2770
+ },
2771
+ {
2772
+ "epoch": 2.99,
2773
+ "grad_norm": 1.0956132894984734,
2774
+ "learning_rate": 3.9467751059341085e-09,
2775
+ "loss": 0.8274,
2776
+ "step": 1960
2777
+ },
2778
+ {
2779
+ "epoch": 3.0,
2780
+ "grad_norm": 1.2600799171859316,
2781
+ "learning_rate": 0.0,
2782
+ "loss": 0.8345,
2783
+ "step": 1965
2784
+ },
2785
+ {
2786
+ "epoch": 3.0,
2787
+ "eval_loss": 1.2143404483795166,
2788
+ "eval_runtime": 248.6803,
2789
+ "eval_samples_per_second": 9.289,
2790
+ "eval_steps_per_second": 0.583,
2791
+ "step": 1965
2792
+ },
2793
+ {
2794
+ "epoch": 3.0,
2795
+ "step": 1965,
2796
+ "total_flos": 4085393396662272.0,
2797
+ "train_loss": 1.1282114190303036,
2798
+ "train_runtime": 21563.1342,
2799
+ "train_samples_per_second": 2.918,
2800
+ "train_steps_per_second": 0.091
2801
+ }
2802
+ ],
2803
+ "logging_steps": 5,
2804
+ "max_steps": 1965,
2805
+ "num_input_tokens_seen": 0,
2806
+ "num_train_epochs": 3,
2807
+ "save_steps": 500,
2808
+ "total_flos": 4085393396662272.0,
2809
+ "train_batch_size": 4,
2810
+ "trial_name": null,
2811
+ "trial_params": null
2812
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a1fe485c713c909e975a4de69235986f1675bb57181954ad65b31cd36ee566a3
3
+ size 6200