End of training
Browse files- README.md +72 -0
- adapter_config.json +34 -0
- adapter_model.safetensors +3 -0
- all_results.json +16 -0
- config.json +33 -0
- eval_results.json +9 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer_config.json +194 -0
- train_results.json +10 -0
- trainer_state.json +3575 -0
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,72 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: deepseek-ai/deepseek-coder-1.3b-base
|
3 |
+
datasets:
|
4 |
+
- Sohaib9920/code_tests
|
5 |
+
library_name: peft
|
6 |
+
license: other
|
7 |
+
tags:
|
8 |
+
- trl
|
9 |
+
- sft
|
10 |
+
- generated_from_trainer
|
11 |
+
model-index:
|
12 |
+
- name: sft_00
|
13 |
+
results: []
|
14 |
+
---
|
15 |
+
|
16 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
17 |
+
should probably proofread and complete it, then remove this comment. -->
|
18 |
+
|
19 |
+
# sft_00
|
20 |
+
|
21 |
+
This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on the Sohaib9920/code_tests dataset.
|
22 |
+
It achieves the following results on the evaluation set:
|
23 |
+
- Loss: 0.2291
|
24 |
+
|
25 |
+
## Model description
|
26 |
+
|
27 |
+
More information needed
|
28 |
+
|
29 |
+
## Intended uses & limitations
|
30 |
+
|
31 |
+
More information needed
|
32 |
+
|
33 |
+
## Training and evaluation data
|
34 |
+
|
35 |
+
More information needed
|
36 |
+
|
37 |
+
## Training procedure
|
38 |
+
|
39 |
+
### Training hyperparameters
|
40 |
+
|
41 |
+
The following hyperparameters were used during training:
|
42 |
+
- learning_rate: 0.0005
|
43 |
+
- train_batch_size: 2
|
44 |
+
- eval_batch_size: 4
|
45 |
+
- seed: 42
|
46 |
+
- distributed_type: multi-GPU
|
47 |
+
- num_devices: 2
|
48 |
+
- gradient_accumulation_steps: 8
|
49 |
+
- total_train_batch_size: 32
|
50 |
+
- total_eval_batch_size: 8
|
51 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
52 |
+
- lr_scheduler_type: cosine
|
53 |
+
- num_epochs: 2
|
54 |
+
- mixed_precision_training: Native AMP
|
55 |
+
|
56 |
+
### Training results
|
57 |
+
|
58 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
59 |
+
|:-------------:|:------:|:----:|:---------------:|
|
60 |
+
| 0.4228 | 0.4996 | 623 | 0.3337 |
|
61 |
+
| 0.3632 | 0.9993 | 1246 | 0.2687 |
|
62 |
+
| 0.264 | 1.4989 | 1869 | 0.2418 |
|
63 |
+
| 0.2535 | 1.9986 | 2492 | 0.2291 |
|
64 |
+
|
65 |
+
|
66 |
+
### Framework versions
|
67 |
+
|
68 |
+
- PEFT 0.12.0
|
69 |
+
- Transformers 4.44.2
|
70 |
+
- Pytorch 2.4.0
|
71 |
+
- Datasets 2.21.0
|
72 |
+
- Tokenizers 0.19.1
|
adapter_config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "deepseek-ai/deepseek-coder-1.3b-base",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 64,
|
14 |
+
"lora_dropout": 0.05,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 32,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"k_proj",
|
24 |
+
"v_proj",
|
25 |
+
"gate_proj",
|
26 |
+
"q_proj",
|
27 |
+
"o_proj",
|
28 |
+
"down_proj",
|
29 |
+
"up_proj"
|
30 |
+
],
|
31 |
+
"task_type": "CAUSAL_LM",
|
32 |
+
"use_dora": false,
|
33 |
+
"use_rslora": false
|
34 |
+
}
|
adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:99b1f6e2f3a3249bd7eb172e5b3179923ebbd7570cd82121a5128f0ec68c9524
|
3 |
+
size 119975656
|
all_results.json
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.9985964912280703,
|
3 |
+
"eval_loss": 0.22910664975643158,
|
4 |
+
"eval_runtime": 8.378,
|
5 |
+
"eval_samples": 100,
|
6 |
+
"eval_samples_per_second": 6.565,
|
7 |
+
"eval_steps_per_second": 0.836,
|
8 |
+
"perplexity": 1.2574761413829163,
|
9 |
+
"raw_train_examples": 78434,
|
10 |
+
"total_flos": 8.025299762167153e+17,
|
11 |
+
"train_examples": 39900,
|
12 |
+
"train_loss": 0.37913749282088366,
|
13 |
+
"train_runtime": 28381.1385,
|
14 |
+
"train_samples_per_second": 2.812,
|
15 |
+
"train_steps_per_second": 0.088
|
16 |
+
}
|
config.json
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "deepseek-ai/deepseek-coder-1.3b-base",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 32013,
|
9 |
+
"eos_token_id": 32014,
|
10 |
+
"hidden_act": "silu",
|
11 |
+
"hidden_size": 2048,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 5504,
|
14 |
+
"max_position_embeddings": 16384,
|
15 |
+
"mlp_bias": false,
|
16 |
+
"model_type": "llama",
|
17 |
+
"num_attention_heads": 16,
|
18 |
+
"num_hidden_layers": 24,
|
19 |
+
"num_key_value_heads": 16,
|
20 |
+
"pretraining_tp": 1,
|
21 |
+
"rms_norm_eps": 1e-06,
|
22 |
+
"rope_scaling": {
|
23 |
+
"factor": 4.0,
|
24 |
+
"rope_type": "linear",
|
25 |
+
"type": "linear"
|
26 |
+
},
|
27 |
+
"rope_theta": 100000,
|
28 |
+
"tie_word_embeddings": false,
|
29 |
+
"torch_dtype": "float16",
|
30 |
+
"transformers_version": "4.44.2",
|
31 |
+
"use_cache": true,
|
32 |
+
"vocab_size": 32256
|
33 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.9985964912280703,
|
3 |
+
"eval_loss": 0.22910664975643158,
|
4 |
+
"eval_runtime": 8.378,
|
5 |
+
"eval_samples": 100,
|
6 |
+
"eval_samples_per_second": 6.565,
|
7 |
+
"eval_steps_per_second": 0.836,
|
8 |
+
"perplexity": 1.2574761413829163
|
9 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<|begin▁of▁sentence|>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": true,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "<|end▁of▁sentence|>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": true,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "<|end▁of▁sentence|>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": true,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
}
|
23 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,194 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": null,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"32000": {
|
7 |
+
"content": "õ",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": true,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": false
|
13 |
+
},
|
14 |
+
"32001": {
|
15 |
+
"content": "÷",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": true,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": false
|
21 |
+
},
|
22 |
+
"32002": {
|
23 |
+
"content": "Á",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": true,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": false
|
29 |
+
},
|
30 |
+
"32003": {
|
31 |
+
"content": "ý",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": true,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false,
|
36 |
+
"special": false
|
37 |
+
},
|
38 |
+
"32004": {
|
39 |
+
"content": "À",
|
40 |
+
"lstrip": false,
|
41 |
+
"normalized": true,
|
42 |
+
"rstrip": false,
|
43 |
+
"single_word": false,
|
44 |
+
"special": false
|
45 |
+
},
|
46 |
+
"32005": {
|
47 |
+
"content": "ÿ",
|
48 |
+
"lstrip": false,
|
49 |
+
"normalized": true,
|
50 |
+
"rstrip": false,
|
51 |
+
"single_word": false,
|
52 |
+
"special": false
|
53 |
+
},
|
54 |
+
"32006": {
|
55 |
+
"content": "ø",
|
56 |
+
"lstrip": false,
|
57 |
+
"normalized": true,
|
58 |
+
"rstrip": false,
|
59 |
+
"single_word": false,
|
60 |
+
"special": false
|
61 |
+
},
|
62 |
+
"32007": {
|
63 |
+
"content": "ú",
|
64 |
+
"lstrip": false,
|
65 |
+
"normalized": true,
|
66 |
+
"rstrip": false,
|
67 |
+
"single_word": false,
|
68 |
+
"special": false
|
69 |
+
},
|
70 |
+
"32008": {
|
71 |
+
"content": "þ",
|
72 |
+
"lstrip": false,
|
73 |
+
"normalized": true,
|
74 |
+
"rstrip": false,
|
75 |
+
"single_word": false,
|
76 |
+
"special": false
|
77 |
+
},
|
78 |
+
"32009": {
|
79 |
+
"content": "ü",
|
80 |
+
"lstrip": false,
|
81 |
+
"normalized": true,
|
82 |
+
"rstrip": false,
|
83 |
+
"single_word": false,
|
84 |
+
"special": false
|
85 |
+
},
|
86 |
+
"32010": {
|
87 |
+
"content": "ù",
|
88 |
+
"lstrip": false,
|
89 |
+
"normalized": true,
|
90 |
+
"rstrip": false,
|
91 |
+
"single_word": false,
|
92 |
+
"special": false
|
93 |
+
},
|
94 |
+
"32011": {
|
95 |
+
"content": "ö",
|
96 |
+
"lstrip": false,
|
97 |
+
"normalized": true,
|
98 |
+
"rstrip": false,
|
99 |
+
"single_word": false,
|
100 |
+
"special": false
|
101 |
+
},
|
102 |
+
"32012": {
|
103 |
+
"content": "û",
|
104 |
+
"lstrip": false,
|
105 |
+
"normalized": true,
|
106 |
+
"rstrip": false,
|
107 |
+
"single_word": false,
|
108 |
+
"special": false
|
109 |
+
},
|
110 |
+
"32013": {
|
111 |
+
"content": "<|begin▁of▁sentence|>",
|
112 |
+
"lstrip": false,
|
113 |
+
"normalized": true,
|
114 |
+
"rstrip": false,
|
115 |
+
"single_word": false,
|
116 |
+
"special": true
|
117 |
+
},
|
118 |
+
"32014": {
|
119 |
+
"content": "<|end▁of▁sentence|>",
|
120 |
+
"lstrip": false,
|
121 |
+
"normalized": true,
|
122 |
+
"rstrip": false,
|
123 |
+
"single_word": false,
|
124 |
+
"special": true
|
125 |
+
},
|
126 |
+
"32015": {
|
127 |
+
"content": "<|fim▁hole|>",
|
128 |
+
"lstrip": false,
|
129 |
+
"normalized": true,
|
130 |
+
"rstrip": false,
|
131 |
+
"single_word": false,
|
132 |
+
"special": false
|
133 |
+
},
|
134 |
+
"32016": {
|
135 |
+
"content": "<|fim▁begin|>",
|
136 |
+
"lstrip": false,
|
137 |
+
"normalized": true,
|
138 |
+
"rstrip": false,
|
139 |
+
"single_word": false,
|
140 |
+
"special": false
|
141 |
+
},
|
142 |
+
"32017": {
|
143 |
+
"content": "<|fim▁end|>",
|
144 |
+
"lstrip": false,
|
145 |
+
"normalized": true,
|
146 |
+
"rstrip": false,
|
147 |
+
"single_word": false,
|
148 |
+
"special": false
|
149 |
+
},
|
150 |
+
"32018": {
|
151 |
+
"content": "<pad>",
|
152 |
+
"lstrip": false,
|
153 |
+
"normalized": true,
|
154 |
+
"rstrip": false,
|
155 |
+
"single_word": false,
|
156 |
+
"special": false
|
157 |
+
},
|
158 |
+
"32019": {
|
159 |
+
"content": "<|User|>",
|
160 |
+
"lstrip": false,
|
161 |
+
"normalized": true,
|
162 |
+
"rstrip": false,
|
163 |
+
"single_word": false,
|
164 |
+
"special": false
|
165 |
+
},
|
166 |
+
"32020": {
|
167 |
+
"content": "<|Assistant|>",
|
168 |
+
"lstrip": false,
|
169 |
+
"normalized": true,
|
170 |
+
"rstrip": false,
|
171 |
+
"single_word": false,
|
172 |
+
"special": false
|
173 |
+
},
|
174 |
+
"32021": {
|
175 |
+
"content": "<|EOT|>",
|
176 |
+
"lstrip": false,
|
177 |
+
"normalized": true,
|
178 |
+
"rstrip": false,
|
179 |
+
"single_word": false,
|
180 |
+
"special": false
|
181 |
+
}
|
182 |
+
},
|
183 |
+
"bos_token": "<|begin▁of▁sentence|>",
|
184 |
+
"chat_template": "{% for message in messages %}{% if (message['role'] == 'system')%}{{ message['content'] + '\n\n' }}{% elif (message['role'] == 'user')%}{{ 'Generate a unit test case for the following Java method:\n' + message['content'] + '\n\n' }}{% elif (message['role'] == 'assistant')%}{{ 'Unit test case:\n' + message['content'] + '\n\n' }}{% endif %}{% if loop.last and message['role'] == 'user' and add_generation_prompt %}{{ 'Unit test case:\n' }}{% endif %}{% endfor %}",
|
185 |
+
"clean_up_tokenization_spaces": false,
|
186 |
+
"eos_token": "<|end▁of▁sentence|>",
|
187 |
+
"legacy": true,
|
188 |
+
"model_max_length": 16384,
|
189 |
+
"pad_token": "<|end▁of▁sentence|>",
|
190 |
+
"sp_model_kwargs": {},
|
191 |
+
"tokenizer_class": "LlamaTokenizer",
|
192 |
+
"unk_token": null,
|
193 |
+
"use_default_system_prompt": false
|
194 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.9985964912280703,
|
3 |
+
"raw_train_examples": 78434,
|
4 |
+
"total_flos": 8.025299762167153e+17,
|
5 |
+
"train_examples": 39900,
|
6 |
+
"train_loss": 0.37913749282088366,
|
7 |
+
"train_runtime": 28381.1385,
|
8 |
+
"train_samples_per_second": 2.812,
|
9 |
+
"train_steps_per_second": 0.088
|
10 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,3575 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.9985964912280703,
|
5 |
+
"eval_steps": 623,
|
6 |
+
"global_step": 2492,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0008020050125313284,
|
13 |
+
"grad_norm": 0.09629630297422409,
|
14 |
+
"learning_rate": 0.000499999801338539,
|
15 |
+
"loss": 0.8462,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.0040100250626566416,
|
20 |
+
"grad_norm": 0.09335128962993622,
|
21 |
+
"learning_rate": 0.0004999950334792631,
|
22 |
+
"loss": 0.9167,
|
23 |
+
"step": 5
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.008020050125313283,
|
27 |
+
"grad_norm": 0.0814199447631836,
|
28 |
+
"learning_rate": 0.0004999801341143832,
|
29 |
+
"loss": 0.8982,
|
30 |
+
"step": 10
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.012030075187969926,
|
34 |
+
"grad_norm": 0.0830962136387825,
|
35 |
+
"learning_rate": 0.0004999553024973442,
|
36 |
+
"loss": 0.8568,
|
37 |
+
"step": 15
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.016040100250626566,
|
41 |
+
"grad_norm": 0.07535357028245926,
|
42 |
+
"learning_rate": 0.00049992053961476,
|
43 |
+
"loss": 0.8423,
|
44 |
+
"step": 20
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.020050125313283207,
|
48 |
+
"grad_norm": 0.08100854605436325,
|
49 |
+
"learning_rate": 0.0004998758468478354,
|
50 |
+
"loss": 0.822,
|
51 |
+
"step": 25
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.02406015037593985,
|
55 |
+
"grad_norm": 0.0720616802573204,
|
56 |
+
"learning_rate": 0.0004998212259723108,
|
57 |
+
"loss": 0.801,
|
58 |
+
"step": 30
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.028070175438596492,
|
62 |
+
"grad_norm": 0.07352820038795471,
|
63 |
+
"learning_rate": 0.0004997566791583916,
|
64 |
+
"loss": 0.819,
|
65 |
+
"step": 35
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.03208020050125313,
|
69 |
+
"grad_norm": 0.07747522741556168,
|
70 |
+
"learning_rate": 0.0004996822089706628,
|
71 |
+
"loss": 0.7917,
|
72 |
+
"step": 40
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.03609022556390978,
|
76 |
+
"grad_norm": 0.0775732770562172,
|
77 |
+
"learning_rate": 0.0004995978183679864,
|
78 |
+
"loss": 0.8007,
|
79 |
+
"step": 45
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.040100250626566414,
|
83 |
+
"grad_norm": 0.08353012800216675,
|
84 |
+
"learning_rate": 0.0004995035107033833,
|
85 |
+
"loss": 0.7939,
|
86 |
+
"step": 50
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.04411027568922306,
|
90 |
+
"grad_norm": 0.09015482664108276,
|
91 |
+
"learning_rate": 0.0004993992897239018,
|
92 |
+
"loss": 0.7844,
|
93 |
+
"step": 55
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.0481203007518797,
|
97 |
+
"grad_norm": 0.08346273750066757,
|
98 |
+
"learning_rate": 0.0004992851595704668,
|
99 |
+
"loss": 0.7805,
|
100 |
+
"step": 60
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.05213032581453634,
|
104 |
+
"grad_norm": 0.08374553918838501,
|
105 |
+
"learning_rate": 0.0004991611247777166,
|
106 |
+
"loss": 0.7758,
|
107 |
+
"step": 65
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.056140350877192984,
|
111 |
+
"grad_norm": 0.0855209082365036,
|
112 |
+
"learning_rate": 0.0004990271902738223,
|
113 |
+
"loss": 0.7799,
|
114 |
+
"step": 70
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.06015037593984962,
|
118 |
+
"grad_norm": 0.08624681085348129,
|
119 |
+
"learning_rate": 0.0004988833613802917,
|
120 |
+
"loss": 0.7461,
|
121 |
+
"step": 75
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.06416040100250626,
|
125 |
+
"grad_norm": 0.08796326816082001,
|
126 |
+
"learning_rate": 0.0004987296438117581,
|
127 |
+
"loss": 0.7181,
|
128 |
+
"step": 80
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.06817042606516291,
|
132 |
+
"grad_norm": 0.08574078977108002,
|
133 |
+
"learning_rate": 0.0004985660436757538,
|
134 |
+
"loss": 0.7209,
|
135 |
+
"step": 85
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.07218045112781955,
|
139 |
+
"grad_norm": 0.09403970092535019,
|
140 |
+
"learning_rate": 0.0004983925674724662,
|
141 |
+
"loss": 0.7297,
|
142 |
+
"step": 90
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.0761904761904762,
|
146 |
+
"grad_norm": 0.1051216572523117,
|
147 |
+
"learning_rate": 0.0004982092220944808,
|
148 |
+
"loss": 0.7077,
|
149 |
+
"step": 95
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.08020050125313283,
|
153 |
+
"grad_norm": 0.10198145359754562,
|
154 |
+
"learning_rate": 0.0004980160148265066,
|
155 |
+
"loss": 0.7369,
|
156 |
+
"step": 100
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.08421052631578947,
|
160 |
+
"grad_norm": 0.10444864630699158,
|
161 |
+
"learning_rate": 0.0004978129533450866,
|
162 |
+
"loss": 0.7044,
|
163 |
+
"step": 105
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.08822055137844612,
|
167 |
+
"grad_norm": 0.09810823947191238,
|
168 |
+
"learning_rate": 0.0004976000457182935,
|
169 |
+
"loss": 0.7055,
|
170 |
+
"step": 110
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.09223057644110276,
|
174 |
+
"grad_norm": 0.10619106888771057,
|
175 |
+
"learning_rate": 0.0004973773004054081,
|
176 |
+
"loss": 0.6951,
|
177 |
+
"step": 115
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.0962406015037594,
|
181 |
+
"grad_norm": 0.11827559024095535,
|
182 |
+
"learning_rate": 0.0004971447262565846,
|
183 |
+
"loss": 0.7285,
|
184 |
+
"step": 120
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.10025062656641603,
|
188 |
+
"grad_norm": 0.09872109442949295,
|
189 |
+
"learning_rate": 0.0004969023325124974,
|
190 |
+
"loss": 0.7065,
|
191 |
+
"step": 125
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.10426065162907268,
|
195 |
+
"grad_norm": 0.11186440289020538,
|
196 |
+
"learning_rate": 0.0004966501288039749,
|
197 |
+
"loss": 0.6663,
|
198 |
+
"step": 130
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.10827067669172932,
|
202 |
+
"grad_norm": 0.10218355059623718,
|
203 |
+
"learning_rate": 0.0004963881251516169,
|
204 |
+
"loss": 0.6763,
|
205 |
+
"step": 135
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.11228070175438597,
|
209 |
+
"grad_norm": 0.11396008729934692,
|
210 |
+
"learning_rate": 0.0004961163319653958,
|
211 |
+
"loss": 0.6704,
|
212 |
+
"step": 140
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.11629072681704261,
|
216 |
+
"grad_norm": 0.10969991981983185,
|
217 |
+
"learning_rate": 0.0004958347600442437,
|
218 |
+
"loss": 0.6779,
|
219 |
+
"step": 145
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.12030075187969924,
|
223 |
+
"grad_norm": 0.11111714690923691,
|
224 |
+
"learning_rate": 0.0004955434205756226,
|
225 |
+
"loss": 0.6835,
|
226 |
+
"step": 150
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.12431077694235589,
|
230 |
+
"grad_norm": 0.11582209914922714,
|
231 |
+
"learning_rate": 0.000495242325135081,
|
232 |
+
"loss": 0.6966,
|
233 |
+
"step": 155
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.12832080200501253,
|
237 |
+
"grad_norm": 0.11664141714572906,
|
238 |
+
"learning_rate": 0.0004949314856857926,
|
239 |
+
"loss": 0.641,
|
240 |
+
"step": 160
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.13233082706766916,
|
244 |
+
"grad_norm": 0.11299869418144226,
|
245 |
+
"learning_rate": 0.000494610914578082,
|
246 |
+
"loss": 0.6349,
|
247 |
+
"step": 165
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.13634085213032582,
|
251 |
+
"grad_norm": 0.10604275017976761,
|
252 |
+
"learning_rate": 0.0004942806245489338,
|
253 |
+
"loss": 0.6498,
|
254 |
+
"step": 170
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.14035087719298245,
|
258 |
+
"grad_norm": 0.11253874003887177,
|
259 |
+
"learning_rate": 0.000493940628721486,
|
260 |
+
"loss": 0.6536,
|
261 |
+
"step": 175
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.1443609022556391,
|
265 |
+
"grad_norm": 0.12596091628074646,
|
266 |
+
"learning_rate": 0.0004935909406045095,
|
267 |
+
"loss": 0.6348,
|
268 |
+
"step": 180
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.14837092731829574,
|
272 |
+
"grad_norm": 0.12171223014593124,
|
273 |
+
"learning_rate": 0.0004932315740918703,
|
274 |
+
"loss": 0.64,
|
275 |
+
"step": 185
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.1523809523809524,
|
279 |
+
"grad_norm": 0.12628182768821716,
|
280 |
+
"learning_rate": 0.0004928625434619785,
|
281 |
+
"loss": 0.6225,
|
282 |
+
"step": 190
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.15639097744360902,
|
286 |
+
"grad_norm": 0.12631121277809143,
|
287 |
+
"learning_rate": 0.0004924838633772201,
|
288 |
+
"loss": 0.6197,
|
289 |
+
"step": 195
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.16040100250626566,
|
293 |
+
"grad_norm": 0.12037768959999084,
|
294 |
+
"learning_rate": 0.0004920955488833753,
|
295 |
+
"loss": 0.6201,
|
296 |
+
"step": 200
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.1644110275689223,
|
300 |
+
"grad_norm": 0.11302505433559418,
|
301 |
+
"learning_rate": 0.0004916976154090198,
|
302 |
+
"loss": 0.5972,
|
303 |
+
"step": 205
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.16842105263157894,
|
307 |
+
"grad_norm": 0.15172865986824036,
|
308 |
+
"learning_rate": 0.0004912900787649124,
|
309 |
+
"loss": 0.6322,
|
310 |
+
"step": 210
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.1724310776942356,
|
314 |
+
"grad_norm": 0.12461714446544647,
|
315 |
+
"learning_rate": 0.0004908729551433668,
|
316 |
+
"loss": 0.5681,
|
317 |
+
"step": 215
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.17644110275689223,
|
321 |
+
"grad_norm": 0.11686723679304123,
|
322 |
+
"learning_rate": 0.0004904462611176079,
|
323 |
+
"loss": 0.6112,
|
324 |
+
"step": 220
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.18045112781954886,
|
328 |
+
"grad_norm": 0.12082964181900024,
|
329 |
+
"learning_rate": 0.0004900100136411134,
|
330 |
+
"loss": 0.59,
|
331 |
+
"step": 225
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.18446115288220552,
|
335 |
+
"grad_norm": 0.14786957204341888,
|
336 |
+
"learning_rate": 0.0004895642300469405,
|
337 |
+
"loss": 0.6008,
|
338 |
+
"step": 230
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.18847117794486215,
|
342 |
+
"grad_norm": 0.11940759420394897,
|
343 |
+
"learning_rate": 0.0004891089280470369,
|
344 |
+
"loss": 0.5781,
|
345 |
+
"step": 235
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.1924812030075188,
|
349 |
+
"grad_norm": 0.12067493796348572,
|
350 |
+
"learning_rate": 0.0004886441257315373,
|
351 |
+
"loss": 0.5963,
|
352 |
+
"step": 240
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.19649122807017544,
|
356 |
+
"grad_norm": 0.12630167603492737,
|
357 |
+
"learning_rate": 0.0004881698415680442,
|
358 |
+
"loss": 0.5767,
|
359 |
+
"step": 245
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.20050125313283207,
|
363 |
+
"grad_norm": 0.12695525586605072,
|
364 |
+
"learning_rate": 0.00048768609440089474,
|
365 |
+
"loss": 0.6039,
|
366 |
+
"step": 250
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.20451127819548873,
|
370 |
+
"grad_norm": 0.13445709645748138,
|
371 |
+
"learning_rate": 0.00048719290345041166,
|
372 |
+
"loss": 0.6087,
|
373 |
+
"step": 255
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.20852130325814536,
|
377 |
+
"grad_norm": 0.13432475924491882,
|
378 |
+
"learning_rate": 0.0004866902883121397,
|
379 |
+
"loss": 0.5491,
|
380 |
+
"step": 260
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.21253132832080202,
|
384 |
+
"grad_norm": 0.15156829357147217,
|
385 |
+
"learning_rate": 0.0004861782689560667,
|
386 |
+
"loss": 0.5492,
|
387 |
+
"step": 265
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.21654135338345865,
|
391 |
+
"grad_norm": 0.13093040883541107,
|
392 |
+
"learning_rate": 0.0004856568657258308,
|
393 |
+
"loss": 0.6045,
|
394 |
+
"step": 270
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.22055137844611528,
|
398 |
+
"grad_norm": 0.1290189027786255,
|
399 |
+
"learning_rate": 0.00048512609933791165,
|
400 |
+
"loss": 0.5433,
|
401 |
+
"step": 275
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.22456140350877193,
|
405 |
+
"grad_norm": 0.13374298810958862,
|
406 |
+
"learning_rate": 0.00048458599088080736,
|
407 |
+
"loss": 0.5575,
|
408 |
+
"step": 280
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.22857142857142856,
|
412 |
+
"grad_norm": 0.1266585886478424,
|
413 |
+
"learning_rate": 0.00048403656181419686,
|
414 |
+
"loss": 0.5474,
|
415 |
+
"step": 285
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.23258145363408522,
|
419 |
+
"grad_norm": 0.13824708759784698,
|
420 |
+
"learning_rate": 0.00048347783396808687,
|
421 |
+
"loss": 0.5465,
|
422 |
+
"step": 290
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.23659147869674185,
|
426 |
+
"grad_norm": 0.12988659739494324,
|
427 |
+
"learning_rate": 0.00048290982954194485,
|
428 |
+
"loss": 0.5605,
|
429 |
+
"step": 295
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.24060150375939848,
|
433 |
+
"grad_norm": 0.13609863817691803,
|
434 |
+
"learning_rate": 0.0004823325711038169,
|
435 |
+
"loss": 0.5812,
|
436 |
+
"step": 300
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.24461152882205514,
|
440 |
+
"grad_norm": 0.14271323382854462,
|
441 |
+
"learning_rate": 0.00048174608158943114,
|
442 |
+
"loss": 0.5485,
|
443 |
+
"step": 305
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.24862155388471177,
|
447 |
+
"grad_norm": 0.13438940048217773,
|
448 |
+
"learning_rate": 0.0004811503843012861,
|
449 |
+
"loss": 0.5325,
|
450 |
+
"step": 310
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.25263157894736843,
|
454 |
+
"grad_norm": 0.138273686170578,
|
455 |
+
"learning_rate": 0.0004805455029077255,
|
456 |
+
"loss": 0.5283,
|
457 |
+
"step": 315
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.25664160401002506,
|
461 |
+
"grad_norm": 0.15901249647140503,
|
462 |
+
"learning_rate": 0.0004799314614419969,
|
463 |
+
"loss": 0.5717,
|
464 |
+
"step": 320
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.2606516290726817,
|
468 |
+
"grad_norm": 0.14647658169269562,
|
469 |
+
"learning_rate": 0.0004793082843012979,
|
470 |
+
"loss": 0.5378,
|
471 |
+
"step": 325
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.2646616541353383,
|
475 |
+
"grad_norm": 0.1300746202468872,
|
476 |
+
"learning_rate": 0.0004786759962458059,
|
477 |
+
"loss": 0.5183,
|
478 |
+
"step": 330
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.268671679197995,
|
482 |
+
"grad_norm": 0.13711751997470856,
|
483 |
+
"learning_rate": 0.000478034622397695,
|
484 |
+
"loss": 0.5442,
|
485 |
+
"step": 335
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.27268170426065164,
|
489 |
+
"grad_norm": 0.150499626994133,
|
490 |
+
"learning_rate": 0.0004773841882401372,
|
491 |
+
"loss": 0.524,
|
492 |
+
"step": 340
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.27669172932330827,
|
496 |
+
"grad_norm": 0.13912473618984222,
|
497 |
+
"learning_rate": 0.00047672471961629037,
|
498 |
+
"loss": 0.5412,
|
499 |
+
"step": 345
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.2807017543859649,
|
503 |
+
"grad_norm": 0.1455031782388687,
|
504 |
+
"learning_rate": 0.0004760562427282712,
|
505 |
+
"loss": 0.5321,
|
506 |
+
"step": 350
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.2847117794486215,
|
510 |
+
"grad_norm": 0.12485536932945251,
|
511 |
+
"learning_rate": 0.0004753787841361145,
|
512 |
+
"loss": 0.5113,
|
513 |
+
"step": 355
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.2887218045112782,
|
517 |
+
"grad_norm": 0.13250643014907837,
|
518 |
+
"learning_rate": 0.00047469237075671724,
|
519 |
+
"loss": 0.5402,
|
520 |
+
"step": 360
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.29273182957393484,
|
524 |
+
"grad_norm": 0.13680434226989746,
|
525 |
+
"learning_rate": 0.00047399702986276984,
|
526 |
+
"loss": 0.5751,
|
527 |
+
"step": 365
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.2967418546365915,
|
531 |
+
"grad_norm": 0.14655643701553345,
|
532 |
+
"learning_rate": 0.0004732927890816719,
|
533 |
+
"loss": 0.5371,
|
534 |
+
"step": 370
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.3007518796992481,
|
538 |
+
"grad_norm": 0.14064128696918488,
|
539 |
+
"learning_rate": 0.00047257967639443513,
|
540 |
+
"loss": 0.531,
|
541 |
+
"step": 375
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.3047619047619048,
|
545 |
+
"grad_norm": 0.14199021458625793,
|
546 |
+
"learning_rate": 0.00047185772013457096,
|
547 |
+
"loss": 0.4934,
|
548 |
+
"step": 380
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.3087719298245614,
|
552 |
+
"grad_norm": 0.14177988469600677,
|
553 |
+
"learning_rate": 0.00047112694898696533,
|
554 |
+
"loss": 0.5249,
|
555 |
+
"step": 385
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.31278195488721805,
|
559 |
+
"grad_norm": 0.14135052263736725,
|
560 |
+
"learning_rate": 0.00047038739198673876,
|
561 |
+
"loss": 0.5272,
|
562 |
+
"step": 390
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.3167919799498747,
|
566 |
+
"grad_norm": 0.12976044416427612,
|
567 |
+
"learning_rate": 0.00046963907851809263,
|
568 |
+
"loss": 0.5263,
|
569 |
+
"step": 395
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.3208020050125313,
|
573 |
+
"grad_norm": 0.15720346570014954,
|
574 |
+
"learning_rate": 0.0004688820383131418,
|
575 |
+
"loss": 0.4858,
|
576 |
+
"step": 400
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.324812030075188,
|
580 |
+
"grad_norm": 0.14797399938106537,
|
581 |
+
"learning_rate": 0.0004681163014507334,
|
582 |
+
"loss": 0.5201,
|
583 |
+
"step": 405
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.3288220551378446,
|
587 |
+
"grad_norm": 0.15095673501491547,
|
588 |
+
"learning_rate": 0.0004673418983552513,
|
589 |
+
"loss": 0.5366,
|
590 |
+
"step": 410
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.33283208020050126,
|
594 |
+
"grad_norm": 0.16217216849327087,
|
595 |
+
"learning_rate": 0.00046655885979540783,
|
596 |
+
"loss": 0.4836,
|
597 |
+
"step": 415
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.3368421052631579,
|
601 |
+
"grad_norm": 0.14743471145629883,
|
602 |
+
"learning_rate": 0.00046576721688302105,
|
603 |
+
"loss": 0.5067,
|
604 |
+
"step": 420
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.3408521303258145,
|
608 |
+
"grad_norm": 0.15485595166683197,
|
609 |
+
"learning_rate": 0.00046496700107177835,
|
610 |
+
"loss": 0.4614,
|
611 |
+
"step": 425
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.3448621553884712,
|
615 |
+
"grad_norm": 0.15458199381828308,
|
616 |
+
"learning_rate": 0.0004641582441559872,
|
617 |
+
"loss": 0.4897,
|
618 |
+
"step": 430
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.34887218045112783,
|
622 |
+
"grad_norm": 0.13934871554374695,
|
623 |
+
"learning_rate": 0.00046334097826931144,
|
624 |
+
"loss": 0.522,
|
625 |
+
"step": 435
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.35288220551378446,
|
629 |
+
"grad_norm": 0.1473606377840042,
|
630 |
+
"learning_rate": 0.00046251523588349485,
|
631 |
+
"loss": 0.4851,
|
632 |
+
"step": 440
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.3568922305764411,
|
636 |
+
"grad_norm": 0.14684675633907318,
|
637 |
+
"learning_rate": 0.00046168104980707104,
|
638 |
+
"loss": 0.4888,
|
639 |
+
"step": 445
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.3609022556390977,
|
643 |
+
"grad_norm": 0.15129096806049347,
|
644 |
+
"learning_rate": 0.0004608384531840595,
|
645 |
+
"loss": 0.5236,
|
646 |
+
"step": 450
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.3649122807017544,
|
650 |
+
"grad_norm": 0.15553347766399384,
|
651 |
+
"learning_rate": 0.00045998747949264895,
|
652 |
+
"loss": 0.4791,
|
653 |
+
"step": 455
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.36892230576441104,
|
657 |
+
"grad_norm": 0.16991403698921204,
|
658 |
+
"learning_rate": 0.00045912816254386747,
|
659 |
+
"loss": 0.4672,
|
660 |
+
"step": 460
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.37293233082706767,
|
664 |
+
"grad_norm": 0.15001340210437775,
|
665 |
+
"learning_rate": 0.0004582605364802385,
|
666 |
+
"loss": 0.4989,
|
667 |
+
"step": 465
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.3769423558897243,
|
671 |
+
"grad_norm": 0.15301191806793213,
|
672 |
+
"learning_rate": 0.00045738463577442467,
|
673 |
+
"loss": 0.4885,
|
674 |
+
"step": 470
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.38095238095238093,
|
678 |
+
"grad_norm": 0.1510782241821289,
|
679 |
+
"learning_rate": 0.00045650049522785827,
|
680 |
+
"loss": 0.4827,
|
681 |
+
"step": 475
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.3849624060150376,
|
685 |
+
"grad_norm": 0.14636896550655365,
|
686 |
+
"learning_rate": 0.0004556081499693581,
|
687 |
+
"loss": 0.4791,
|
688 |
+
"step": 480
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.38897243107769425,
|
692 |
+
"grad_norm": 0.1476137489080429,
|
693 |
+
"learning_rate": 0.00045470763545373395,
|
694 |
+
"loss": 0.4709,
|
695 |
+
"step": 485
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.3929824561403509,
|
699 |
+
"grad_norm": 0.15410684049129486,
|
700 |
+
"learning_rate": 0.000453798987460378,
|
701 |
+
"loss": 0.4794,
|
702 |
+
"step": 490
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.3969924812030075,
|
706 |
+
"grad_norm": 0.14843297004699707,
|
707 |
+
"learning_rate": 0.00045288224209184315,
|
708 |
+
"loss": 0.5077,
|
709 |
+
"step": 495
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.40100250626566414,
|
713 |
+
"grad_norm": 0.1490759700536728,
|
714 |
+
"learning_rate": 0.00045195743577240835,
|
715 |
+
"loss": 0.464,
|
716 |
+
"step": 500
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.4050125313283208,
|
720 |
+
"grad_norm": 0.17478294670581818,
|
721 |
+
"learning_rate": 0.0004510246052466317,
|
722 |
+
"loss": 0.4754,
|
723 |
+
"step": 505
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.40902255639097745,
|
727 |
+
"grad_norm": 0.15610414743423462,
|
728 |
+
"learning_rate": 0.0004500837875778905,
|
729 |
+
"loss": 0.488,
|
730 |
+
"step": 510
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.4130325814536341,
|
734 |
+
"grad_norm": 0.15166425704956055,
|
735 |
+
"learning_rate": 0.00044913502014690837,
|
736 |
+
"loss": 0.4772,
|
737 |
+
"step": 515
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.4170426065162907,
|
741 |
+
"grad_norm": 0.14028780162334442,
|
742 |
+
"learning_rate": 0.0004481783406502703,
|
743 |
+
"loss": 0.5013,
|
744 |
+
"step": 520
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.42105263157894735,
|
748 |
+
"grad_norm": 0.17099718749523163,
|
749 |
+
"learning_rate": 0.0004472137870989247,
|
750 |
+
"loss": 0.4811,
|
751 |
+
"step": 525
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.42506265664160403,
|
755 |
+
"grad_norm": 0.1719314604997635,
|
756 |
+
"learning_rate": 0.0004462413978166734,
|
757 |
+
"loss": 0.4735,
|
758 |
+
"step": 530
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.42907268170426066,
|
762 |
+
"grad_norm": 0.17192725837230682,
|
763 |
+
"learning_rate": 0.0004452612114386485,
|
764 |
+
"loss": 0.4945,
|
765 |
+
"step": 535
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.4330827067669173,
|
769 |
+
"grad_norm": 0.1921142190694809,
|
770 |
+
"learning_rate": 0.000444273266909778,
|
771 |
+
"loss": 0.4975,
|
772 |
+
"step": 540
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.4370927318295739,
|
776 |
+
"grad_norm": 0.16015449166297913,
|
777 |
+
"learning_rate": 0.00044327760348323767,
|
778 |
+
"loss": 0.4566,
|
779 |
+
"step": 545
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.44110275689223055,
|
783 |
+
"grad_norm": 0.15686671435832977,
|
784 |
+
"learning_rate": 0.000442274260718892,
|
785 |
+
"loss": 0.449,
|
786 |
+
"step": 550
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.44511278195488724,
|
790 |
+
"grad_norm": 0.1583927422761917,
|
791 |
+
"learning_rate": 0.0004412632784817221,
|
792 |
+
"loss": 0.4738,
|
793 |
+
"step": 555
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.44912280701754387,
|
797 |
+
"grad_norm": 0.1498887687921524,
|
798 |
+
"learning_rate": 0.00044024469694024196,
|
799 |
+
"loss": 0.4416,
|
800 |
+
"step": 560
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.4531328320802005,
|
804 |
+
"grad_norm": 0.16318589448928833,
|
805 |
+
"learning_rate": 0.0004392185565649024,
|
806 |
+
"loss": 0.4527,
|
807 |
+
"step": 565
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.45714285714285713,
|
811 |
+
"grad_norm": 0.14862380921840668,
|
812 |
+
"learning_rate": 0.000438184898126483,
|
813 |
+
"loss": 0.4613,
|
814 |
+
"step": 570
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.46115288220551376,
|
818 |
+
"grad_norm": 0.17321060597896576,
|
819 |
+
"learning_rate": 0.00043714376269447233,
|
820 |
+
"loss": 0.4587,
|
821 |
+
"step": 575
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.46516290726817044,
|
825 |
+
"grad_norm": 0.15772369503974915,
|
826 |
+
"learning_rate": 0.0004360951916354361,
|
827 |
+
"loss": 0.4546,
|
828 |
+
"step": 580
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.4691729323308271,
|
832 |
+
"grad_norm": 0.1607331931591034,
|
833 |
+
"learning_rate": 0.0004350392266113736,
|
834 |
+
"loss": 0.4836,
|
835 |
+
"step": 585
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.4731829573934837,
|
839 |
+
"grad_norm": 0.16422398388385773,
|
840 |
+
"learning_rate": 0.0004339759095780623,
|
841 |
+
"loss": 0.446,
|
842 |
+
"step": 590
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.47719298245614034,
|
846 |
+
"grad_norm": 0.15711261332035065,
|
847 |
+
"learning_rate": 0.00043290528278339097,
|
848 |
+
"loss": 0.4308,
|
849 |
+
"step": 595
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.48120300751879697,
|
853 |
+
"grad_norm": 0.15732958912849426,
|
854 |
+
"learning_rate": 0.0004318273887656811,
|
855 |
+
"loss": 0.4687,
|
856 |
+
"step": 600
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.48521303258145365,
|
860 |
+
"grad_norm": 0.15295931696891785,
|
861 |
+
"learning_rate": 0.00043074227035199656,
|
862 |
+
"loss": 0.4474,
|
863 |
+
"step": 605
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.4892230576441103,
|
867 |
+
"grad_norm": 0.16534899175167084,
|
868 |
+
"learning_rate": 0.00042964997065644204,
|
869 |
+
"loss": 0.4552,
|
870 |
+
"step": 610
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.4932330827067669,
|
874 |
+
"grad_norm": 0.15630511939525604,
|
875 |
+
"learning_rate": 0.00042855053307845056,
|
876 |
+
"loss": 0.4842,
|
877 |
+
"step": 615
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.49724310776942354,
|
881 |
+
"grad_norm": 0.1624716818332672,
|
882 |
+
"learning_rate": 0.0004274440013010581,
|
883 |
+
"loss": 0.4228,
|
884 |
+
"step": 620
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.49964912280701756,
|
888 |
+
"eval_loss": 0.33371835947036743,
|
889 |
+
"eval_runtime": 8.4047,
|
890 |
+
"eval_samples_per_second": 6.544,
|
891 |
+
"eval_steps_per_second": 0.833,
|
892 |
+
"step": 623
|
893 |
+
},
|
894 |
+
{
|
895 |
+
"epoch": 0.5012531328320802,
|
896 |
+
"grad_norm": 0.16876687109470367,
|
897 |
+
"learning_rate": 0.0004263304192891689,
|
898 |
+
"loss": 0.4628,
|
899 |
+
"step": 625
|
900 |
+
},
|
901 |
+
{
|
902 |
+
"epoch": 0.5052631578947369,
|
903 |
+
"grad_norm": 0.16050459444522858,
|
904 |
+
"learning_rate": 0.00042520983128780824,
|
905 |
+
"loss": 0.422,
|
906 |
+
"step": 630
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 0.5092731829573934,
|
910 |
+
"grad_norm": 0.1509382724761963,
|
911 |
+
"learning_rate": 0.00042408228182036446,
|
912 |
+
"loss": 0.4473,
|
913 |
+
"step": 635
|
914 |
+
},
|
915 |
+
{
|
916 |
+
"epoch": 0.5132832080200501,
|
917 |
+
"grad_norm": 0.16160839796066284,
|
918 |
+
"learning_rate": 0.00042294781568682,
|
919 |
+
"loss": 0.4264,
|
920 |
+
"step": 640
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 0.5172932330827068,
|
924 |
+
"grad_norm": 0.1524878293275833,
|
925 |
+
"learning_rate": 0.0004218064779619715,
|
926 |
+
"loss": 0.4332,
|
927 |
+
"step": 645
|
928 |
+
},
|
929 |
+
{
|
930 |
+
"epoch": 0.5213032581453634,
|
931 |
+
"grad_norm": 0.18008528649806976,
|
932 |
+
"learning_rate": 0.00042065831399363884,
|
933 |
+
"loss": 0.4365,
|
934 |
+
"step": 650
|
935 |
+
},
|
936 |
+
{
|
937 |
+
"epoch": 0.5253132832080201,
|
938 |
+
"grad_norm": 0.16481877863407135,
|
939 |
+
"learning_rate": 0.0004195033694008632,
|
940 |
+
"loss": 0.4417,
|
941 |
+
"step": 655
|
942 |
+
},
|
943 |
+
{
|
944 |
+
"epoch": 0.5293233082706766,
|
945 |
+
"grad_norm": 0.16098377108573914,
|
946 |
+
"learning_rate": 0.00041834169007209487,
|
947 |
+
"loss": 0.4459,
|
948 |
+
"step": 660
|
949 |
+
},
|
950 |
+
{
|
951 |
+
"epoch": 0.5333333333333333,
|
952 |
+
"grad_norm": 0.15441514551639557,
|
953 |
+
"learning_rate": 0.0004171733221633695,
|
954 |
+
"loss": 0.4178,
|
955 |
+
"step": 665
|
956 |
+
},
|
957 |
+
{
|
958 |
+
"epoch": 0.53734335839599,
|
959 |
+
"grad_norm": 0.15172994136810303,
|
960 |
+
"learning_rate": 0.00041599831209647475,
|
961 |
+
"loss": 0.4261,
|
962 |
+
"step": 670
|
963 |
+
},
|
964 |
+
{
|
965 |
+
"epoch": 0.5413533834586466,
|
966 |
+
"grad_norm": 0.16424188017845154,
|
967 |
+
"learning_rate": 0.0004148167065571055,
|
968 |
+
"loss": 0.4375,
|
969 |
+
"step": 675
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 0.5453634085213033,
|
973 |
+
"grad_norm": 0.1634334772825241,
|
974 |
+
"learning_rate": 0.0004136285524930091,
|
975 |
+
"loss": 0.4453,
|
976 |
+
"step": 680
|
977 |
+
},
|
978 |
+
{
|
979 |
+
"epoch": 0.5493734335839598,
|
980 |
+
"grad_norm": 0.1613541692495346,
|
981 |
+
"learning_rate": 0.00041243389711211997,
|
982 |
+
"loss": 0.4835,
|
983 |
+
"step": 685
|
984 |
+
},
|
985 |
+
{
|
986 |
+
"epoch": 0.5533834586466165,
|
987 |
+
"grad_norm": 0.16017889976501465,
|
988 |
+
"learning_rate": 0.00041123278788068375,
|
989 |
+
"loss": 0.4245,
|
990 |
+
"step": 690
|
991 |
+
},
|
992 |
+
{
|
993 |
+
"epoch": 0.5573934837092732,
|
994 |
+
"grad_norm": 0.1616198718547821,
|
995 |
+
"learning_rate": 0.0004100252725213718,
|
996 |
+
"loss": 0.4757,
|
997 |
+
"step": 695
|
998 |
+
},
|
999 |
+
{
|
1000 |
+
"epoch": 0.5614035087719298,
|
1001 |
+
"grad_norm": 0.15503592789173126,
|
1002 |
+
"learning_rate": 0.00040881139901138467,
|
1003 |
+
"loss": 0.438,
|
1004 |
+
"step": 700
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 0.5654135338345865,
|
1008 |
+
"grad_norm": 0.15209273993968964,
|
1009 |
+
"learning_rate": 0.000407591215580546,
|
1010 |
+
"loss": 0.4258,
|
1011 |
+
"step": 705
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 0.569423558897243,
|
1015 |
+
"grad_norm": 0.16087529063224792,
|
1016 |
+
"learning_rate": 0.0004063647707093864,
|
1017 |
+
"loss": 0.4319,
|
1018 |
+
"step": 710
|
1019 |
+
},
|
1020 |
+
{
|
1021 |
+
"epoch": 0.5734335839598997,
|
1022 |
+
"grad_norm": 0.16061115264892578,
|
1023 |
+
"learning_rate": 0.0004051321131272167,
|
1024 |
+
"loss": 0.4562,
|
1025 |
+
"step": 715
|
1026 |
+
},
|
1027 |
+
{
|
1028 |
+
"epoch": 0.5774436090225564,
|
1029 |
+
"grad_norm": 0.15838468074798584,
|
1030 |
+
"learning_rate": 0.0004038932918101927,
|
1031 |
+
"loss": 0.4171,
|
1032 |
+
"step": 720
|
1033 |
+
},
|
1034 |
+
{
|
1035 |
+
"epoch": 0.581453634085213,
|
1036 |
+
"grad_norm": 0.16260045766830444,
|
1037 |
+
"learning_rate": 0.00040264835597936846,
|
1038 |
+
"loss": 0.4197,
|
1039 |
+
"step": 725
|
1040 |
+
},
|
1041 |
+
{
|
1042 |
+
"epoch": 0.5854636591478697,
|
1043 |
+
"grad_norm": 0.20412659645080566,
|
1044 |
+
"learning_rate": 0.0004013973550987408,
|
1045 |
+
"loss": 0.4399,
|
1046 |
+
"step": 730
|
1047 |
+
},
|
1048 |
+
{
|
1049 |
+
"epoch": 0.5894736842105263,
|
1050 |
+
"grad_norm": 0.16249172389507294,
|
1051 |
+
"learning_rate": 0.0004001403388732842,
|
1052 |
+
"loss": 0.4141,
|
1053 |
+
"step": 735
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 0.593483709273183,
|
1057 |
+
"grad_norm": 0.16174912452697754,
|
1058 |
+
"learning_rate": 0.0003988773572469761,
|
1059 |
+
"loss": 0.4235,
|
1060 |
+
"step": 740
|
1061 |
+
},
|
1062 |
+
{
|
1063 |
+
"epoch": 0.5974937343358396,
|
1064 |
+
"grad_norm": 0.16679826378822327,
|
1065 |
+
"learning_rate": 0.0003976084604008119,
|
1066 |
+
"loss": 0.4078,
|
1067 |
+
"step": 745
|
1068 |
+
},
|
1069 |
+
{
|
1070 |
+
"epoch": 0.6015037593984962,
|
1071 |
+
"grad_norm": 0.1594962477684021,
|
1072 |
+
"learning_rate": 0.0003963336987508115,
|
1073 |
+
"loss": 0.4229,
|
1074 |
+
"step": 750
|
1075 |
+
},
|
1076 |
+
{
|
1077 |
+
"epoch": 0.6055137844611529,
|
1078 |
+
"grad_norm": 0.1605675369501114,
|
1079 |
+
"learning_rate": 0.00039505312294601635,
|
1080 |
+
"loss": 0.4084,
|
1081 |
+
"step": 755
|
1082 |
+
},
|
1083 |
+
{
|
1084 |
+
"epoch": 0.6095238095238096,
|
1085 |
+
"grad_norm": 0.16422423720359802,
|
1086 |
+
"learning_rate": 0.0003937667838664768,
|
1087 |
+
"loss": 0.3926,
|
1088 |
+
"step": 760
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 0.6135338345864662,
|
1092 |
+
"grad_norm": 0.15119189023971558,
|
1093 |
+
"learning_rate": 0.00039247473262123036,
|
1094 |
+
"loss": 0.3998,
|
1095 |
+
"step": 765
|
1096 |
+
},
|
1097 |
+
{
|
1098 |
+
"epoch": 0.6175438596491228,
|
1099 |
+
"grad_norm": 0.1493472158908844,
|
1100 |
+
"learning_rate": 0.0003911770205462717,
|
1101 |
+
"loss": 0.3965,
|
1102 |
+
"step": 770
|
1103 |
+
},
|
1104 |
+
{
|
1105 |
+
"epoch": 0.6215538847117794,
|
1106 |
+
"grad_norm": 0.16699016094207764,
|
1107 |
+
"learning_rate": 0.00038987369920251213,
|
1108 |
+
"loss": 0.4089,
|
1109 |
+
"step": 775
|
1110 |
+
},
|
1111 |
+
{
|
1112 |
+
"epoch": 0.6255639097744361,
|
1113 |
+
"grad_norm": 0.15896373987197876,
|
1114 |
+
"learning_rate": 0.00038856482037373155,
|
1115 |
+
"loss": 0.3785,
|
1116 |
+
"step": 780
|
1117 |
+
},
|
1118 |
+
{
|
1119 |
+
"epoch": 0.6295739348370928,
|
1120 |
+
"grad_norm": 0.16796669363975525,
|
1121 |
+
"learning_rate": 0.0003872504360645206,
|
1122 |
+
"loss": 0.3973,
|
1123 |
+
"step": 785
|
1124 |
+
},
|
1125 |
+
{
|
1126 |
+
"epoch": 0.6335839598997494,
|
1127 |
+
"grad_norm": 0.14833569526672363,
|
1128 |
+
"learning_rate": 0.0003859305984982149,
|
1129 |
+
"loss": 0.4149,
|
1130 |
+
"step": 790
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 0.637593984962406,
|
1134 |
+
"grad_norm": 0.1650949865579605,
|
1135 |
+
"learning_rate": 0.0003846053601148194,
|
1136 |
+
"loss": 0.4253,
|
1137 |
+
"step": 795
|
1138 |
+
},
|
1139 |
+
{
|
1140 |
+
"epoch": 0.6416040100250626,
|
1141 |
+
"grad_norm": 0.15514247119426727,
|
1142 |
+
"learning_rate": 0.00038327477356892546,
|
1143 |
+
"loss": 0.3654,
|
1144 |
+
"step": 800
|
1145 |
+
},
|
1146 |
+
{
|
1147 |
+
"epoch": 0.6456140350877193,
|
1148 |
+
"grad_norm": 0.16105593740940094,
|
1149 |
+
"learning_rate": 0.0003819388917276185,
|
1150 |
+
"loss": 0.4399,
|
1151 |
+
"step": 805
|
1152 |
+
},
|
1153 |
+
{
|
1154 |
+
"epoch": 0.649624060150376,
|
1155 |
+
"grad_norm": 0.15280301868915558,
|
1156 |
+
"learning_rate": 0.00038059776766837753,
|
1157 |
+
"loss": 0.4166,
|
1158 |
+
"step": 810
|
1159 |
+
},
|
1160 |
+
{
|
1161 |
+
"epoch": 0.6536340852130326,
|
1162 |
+
"grad_norm": 0.16363288462162018,
|
1163 |
+
"learning_rate": 0.000379251454676966,
|
1164 |
+
"loss": 0.3977,
|
1165 |
+
"step": 815
|
1166 |
+
},
|
1167 |
+
{
|
1168 |
+
"epoch": 0.6576441102756893,
|
1169 |
+
"grad_norm": 0.16015923023223877,
|
1170 |
+
"learning_rate": 0.00037790000624531505,
|
1171 |
+
"loss": 0.3918,
|
1172 |
+
"step": 820
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 0.6616541353383458,
|
1176 |
+
"grad_norm": 0.14514611661434174,
|
1177 |
+
"learning_rate": 0.0003765434760693981,
|
1178 |
+
"loss": 0.3801,
|
1179 |
+
"step": 825
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 0.6656641604010025,
|
1183 |
+
"grad_norm": 0.16084541380405426,
|
1184 |
+
"learning_rate": 0.0003751819180470969,
|
1185 |
+
"loss": 0.4123,
|
1186 |
+
"step": 830
|
1187 |
+
},
|
1188 |
+
{
|
1189 |
+
"epoch": 0.6696741854636592,
|
1190 |
+
"grad_norm": 0.14666476845741272,
|
1191 |
+
"learning_rate": 0.000373815386276061,
|
1192 |
+
"loss": 0.3712,
|
1193 |
+
"step": 835
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"epoch": 0.6736842105263158,
|
1197 |
+
"grad_norm": 0.16997689008712769,
|
1198 |
+
"learning_rate": 0.0003724439350515571,
|
1199 |
+
"loss": 0.3999,
|
1200 |
+
"step": 840
|
1201 |
+
},
|
1202 |
+
{
|
1203 |
+
"epoch": 0.6776942355889725,
|
1204 |
+
"grad_norm": 0.15905480086803436,
|
1205 |
+
"learning_rate": 0.000371067618864313,
|
1206 |
+
"loss": 0.4068,
|
1207 |
+
"step": 845
|
1208 |
+
},
|
1209 |
+
{
|
1210 |
+
"epoch": 0.681704260651629,
|
1211 |
+
"grad_norm": 0.1562589704990387,
|
1212 |
+
"learning_rate": 0.0003696864923983516,
|
1213 |
+
"loss": 0.3843,
|
1214 |
+
"step": 850
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 0.6857142857142857,
|
1218 |
+
"grad_norm": 0.16755416989326477,
|
1219 |
+
"learning_rate": 0.00036830061052881897,
|
1220 |
+
"loss": 0.4426,
|
1221 |
+
"step": 855
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 0.6897243107769424,
|
1225 |
+
"grad_norm": 0.14882604777812958,
|
1226 |
+
"learning_rate": 0.00036691002831980323,
|
1227 |
+
"loss": 0.3939,
|
1228 |
+
"step": 860
|
1229 |
+
},
|
1230 |
+
{
|
1231 |
+
"epoch": 0.693734335839599,
|
1232 |
+
"grad_norm": 0.16580046713352203,
|
1233 |
+
"learning_rate": 0.0003655148010221476,
|
1234 |
+
"loss": 0.3823,
|
1235 |
+
"step": 865
|
1236 |
+
},
|
1237 |
+
{
|
1238 |
+
"epoch": 0.6977443609022557,
|
1239 |
+
"grad_norm": 0.15855063498020172,
|
1240 |
+
"learning_rate": 0.00036411498407125435,
|
1241 |
+
"loss": 0.3907,
|
1242 |
+
"step": 870
|
1243 |
+
},
|
1244 |
+
{
|
1245 |
+
"epoch": 0.7017543859649122,
|
1246 |
+
"grad_norm": 0.1665424108505249,
|
1247 |
+
"learning_rate": 0.00036271063308488294,
|
1248 |
+
"loss": 0.4133,
|
1249 |
+
"step": 875
|
1250 |
+
},
|
1251 |
+
{
|
1252 |
+
"epoch": 0.7057644110275689,
|
1253 |
+
"grad_norm": 0.1685834378004074,
|
1254 |
+
"learning_rate": 0.0003613018038609398,
|
1255 |
+
"loss": 0.4359,
|
1256 |
+
"step": 880
|
1257 |
+
},
|
1258 |
+
{
|
1259 |
+
"epoch": 0.7097744360902256,
|
1260 |
+
"grad_norm": 0.15352065861225128,
|
1261 |
+
"learning_rate": 0.0003598885523752611,
|
1262 |
+
"loss": 0.4037,
|
1263 |
+
"step": 885
|
1264 |
+
},
|
1265 |
+
{
|
1266 |
+
"epoch": 0.7137844611528822,
|
1267 |
+
"grad_norm": 0.17349396646022797,
|
1268 |
+
"learning_rate": 0.00035847093477938953,
|
1269 |
+
"loss": 0.411,
|
1270 |
+
"step": 890
|
1271 |
+
},
|
1272 |
+
{
|
1273 |
+
"epoch": 0.7177944862155389,
|
1274 |
+
"grad_norm": 0.15559545159339905,
|
1275 |
+
"learning_rate": 0.0003570490073983425,
|
1276 |
+
"loss": 0.3817,
|
1277 |
+
"step": 895
|
1278 |
+
},
|
1279 |
+
{
|
1280 |
+
"epoch": 0.7218045112781954,
|
1281 |
+
"grad_norm": 0.16843955218791962,
|
1282 |
+
"learning_rate": 0.00035562282672837477,
|
1283 |
+
"loss": 0.4162,
|
1284 |
+
"step": 900
|
1285 |
+
},
|
1286 |
+
{
|
1287 |
+
"epoch": 0.7258145363408521,
|
1288 |
+
"grad_norm": 0.17087852954864502,
|
1289 |
+
"learning_rate": 0.00035419244943473305,
|
1290 |
+
"loss": 0.412,
|
1291 |
+
"step": 905
|
1292 |
+
},
|
1293 |
+
{
|
1294 |
+
"epoch": 0.7298245614035088,
|
1295 |
+
"grad_norm": 0.16542008519172668,
|
1296 |
+
"learning_rate": 0.00035275793234940545,
|
1297 |
+
"loss": 0.421,
|
1298 |
+
"step": 910
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 0.7338345864661654,
|
1302 |
+
"grad_norm": 0.17914004623889923,
|
1303 |
+
"learning_rate": 0.0003513193324688627,
|
1304 |
+
"loss": 0.3759,
|
1305 |
+
"step": 915
|
1306 |
+
},
|
1307 |
+
{
|
1308 |
+
"epoch": 0.7378446115288221,
|
1309 |
+
"grad_norm": 0.16926446557044983,
|
1310 |
+
"learning_rate": 0.00034987670695179403,
|
1311 |
+
"loss": 0.3988,
|
1312 |
+
"step": 920
|
1313 |
+
},
|
1314 |
+
{
|
1315 |
+
"epoch": 0.7418546365914787,
|
1316 |
+
"grad_norm": 0.15922464430332184,
|
1317 |
+
"learning_rate": 0.00034843011311683566,
|
1318 |
+
"loss": 0.3641,
|
1319 |
+
"step": 925
|
1320 |
+
},
|
1321 |
+
{
|
1322 |
+
"epoch": 0.7458646616541353,
|
1323 |
+
"grad_norm": 0.16068434715270996,
|
1324 |
+
"learning_rate": 0.00034697960844029383,
|
1325 |
+
"loss": 0.3746,
|
1326 |
+
"step": 930
|
1327 |
+
},
|
1328 |
+
{
|
1329 |
+
"epoch": 0.749874686716792,
|
1330 |
+
"grad_norm": 0.18251362442970276,
|
1331 |
+
"learning_rate": 0.0003455252505538611,
|
1332 |
+
"loss": 0.4308,
|
1333 |
+
"step": 935
|
1334 |
+
},
|
1335 |
+
{
|
1336 |
+
"epoch": 0.7538847117794486,
|
1337 |
+
"grad_norm": 0.1559171974658966,
|
1338 |
+
"learning_rate": 0.0003440670972423262,
|
1339 |
+
"loss": 0.4045,
|
1340 |
+
"step": 940
|
1341 |
+
},
|
1342 |
+
{
|
1343 |
+
"epoch": 0.7578947368421053,
|
1344 |
+
"grad_norm": 0.17260219156742096,
|
1345 |
+
"learning_rate": 0.00034260520644127846,
|
1346 |
+
"loss": 0.3642,
|
1347 |
+
"step": 945
|
1348 |
+
},
|
1349 |
+
{
|
1350 |
+
"epoch": 0.7619047619047619,
|
1351 |
+
"grad_norm": 0.1719062477350235,
|
1352 |
+
"learning_rate": 0.0003411396362348056,
|
1353 |
+
"loss": 0.3973,
|
1354 |
+
"step": 950
|
1355 |
+
},
|
1356 |
+
{
|
1357 |
+
"epoch": 0.7659147869674185,
|
1358 |
+
"grad_norm": 0.16649049520492554,
|
1359 |
+
"learning_rate": 0.0003396704448531863,
|
1360 |
+
"loss": 0.4031,
|
1361 |
+
"step": 955
|
1362 |
+
},
|
1363 |
+
{
|
1364 |
+
"epoch": 0.7699248120300752,
|
1365 |
+
"grad_norm": 0.15968754887580872,
|
1366 |
+
"learning_rate": 0.00033819769067057617,
|
1367 |
+
"loss": 0.3648,
|
1368 |
+
"step": 960
|
1369 |
+
},
|
1370 |
+
{
|
1371 |
+
"epoch": 0.7739348370927318,
|
1372 |
+
"grad_norm": 0.18287472426891327,
|
1373 |
+
"learning_rate": 0.0003367214322026888,
|
1374 |
+
"loss": 0.3921,
|
1375 |
+
"step": 965
|
1376 |
+
},
|
1377 |
+
{
|
1378 |
+
"epoch": 0.7779448621553885,
|
1379 |
+
"grad_norm": 0.1621864289045334,
|
1380 |
+
"learning_rate": 0.00033524172810447055,
|
1381 |
+
"loss": 0.3956,
|
1382 |
+
"step": 970
|
1383 |
+
},
|
1384 |
+
{
|
1385 |
+
"epoch": 0.7819548872180451,
|
1386 |
+
"grad_norm": 0.1772567480802536,
|
1387 |
+
"learning_rate": 0.00033375863716777007,
|
1388 |
+
"loss": 0.3745,
|
1389 |
+
"step": 975
|
1390 |
+
},
|
1391 |
+
{
|
1392 |
+
"epoch": 0.7859649122807018,
|
1393 |
+
"grad_norm": 0.17318162322044373,
|
1394 |
+
"learning_rate": 0.0003322722183190025,
|
1395 |
+
"loss": 0.3924,
|
1396 |
+
"step": 980
|
1397 |
+
},
|
1398 |
+
{
|
1399 |
+
"epoch": 0.7899749373433584,
|
1400 |
+
"grad_norm": 0.17136339843273163,
|
1401 |
+
"learning_rate": 0.0003307825306168082,
|
1402 |
+
"loss": 0.3897,
|
1403 |
+
"step": 985
|
1404 |
+
},
|
1405 |
+
{
|
1406 |
+
"epoch": 0.793984962406015,
|
1407 |
+
"grad_norm": 0.15933868288993835,
|
1408 |
+
"learning_rate": 0.00032928963324970595,
|
1409 |
+
"loss": 0.3723,
|
1410 |
+
"step": 990
|
1411 |
+
},
|
1412 |
+
{
|
1413 |
+
"epoch": 0.7979949874686717,
|
1414 |
+
"grad_norm": 0.1778361201286316,
|
1415 |
+
"learning_rate": 0.0003277935855337417,
|
1416 |
+
"loss": 0.3822,
|
1417 |
+
"step": 995
|
1418 |
+
},
|
1419 |
+
{
|
1420 |
+
"epoch": 0.8020050125313283,
|
1421 |
+
"grad_norm": 0.15671303868293762,
|
1422 |
+
"learning_rate": 0.00032629444691013144,
|
1423 |
+
"loss": 0.3805,
|
1424 |
+
"step": 1000
|
1425 |
+
},
|
1426 |
+
{
|
1427 |
+
"epoch": 0.806015037593985,
|
1428 |
+
"grad_norm": 0.16916193068027496,
|
1429 |
+
"learning_rate": 0.0003247922769428998,
|
1430 |
+
"loss": 0.3931,
|
1431 |
+
"step": 1005
|
1432 |
+
},
|
1433 |
+
{
|
1434 |
+
"epoch": 0.8100250626566416,
|
1435 |
+
"grad_norm": 0.15111452341079712,
|
1436 |
+
"learning_rate": 0.0003232871353165129,
|
1437 |
+
"loss": 0.3398,
|
1438 |
+
"step": 1010
|
1439 |
+
},
|
1440 |
+
{
|
1441 |
+
"epoch": 0.8140350877192982,
|
1442 |
+
"grad_norm": 0.14872141182422638,
|
1443 |
+
"learning_rate": 0.0003217790818335077,
|
1444 |
+
"loss": 0.3541,
|
1445 |
+
"step": 1015
|
1446 |
+
},
|
1447 |
+
{
|
1448 |
+
"epoch": 0.8180451127819549,
|
1449 |
+
"grad_norm": 0.1576554924249649,
|
1450 |
+
"learning_rate": 0.00032026817641211524,
|
1451 |
+
"loss": 0.3612,
|
1452 |
+
"step": 1020
|
1453 |
+
},
|
1454 |
+
{
|
1455 |
+
"epoch": 0.8220551378446115,
|
1456 |
+
"grad_norm": 0.16731838881969452,
|
1457 |
+
"learning_rate": 0.0003187544790838805,
|
1458 |
+
"loss": 0.3742,
|
1459 |
+
"step": 1025
|
1460 |
+
},
|
1461 |
+
{
|
1462 |
+
"epoch": 0.8260651629072682,
|
1463 |
+
"grad_norm": 0.17792581021785736,
|
1464 |
+
"learning_rate": 0.0003172380499912768,
|
1465 |
+
"loss": 0.3835,
|
1466 |
+
"step": 1030
|
1467 |
+
},
|
1468 |
+
{
|
1469 |
+
"epoch": 0.8300751879699249,
|
1470 |
+
"grad_norm": 0.15929646790027618,
|
1471 |
+
"learning_rate": 0.0003157189493853164,
|
1472 |
+
"loss": 0.3547,
|
1473 |
+
"step": 1035
|
1474 |
+
},
|
1475 |
+
{
|
1476 |
+
"epoch": 0.8340852130325814,
|
1477 |
+
"grad_norm": 0.17030423879623413,
|
1478 |
+
"learning_rate": 0.00031419723762315656,
|
1479 |
+
"loss": 0.3833,
|
1480 |
+
"step": 1040
|
1481 |
+
},
|
1482 |
+
{
|
1483 |
+
"epoch": 0.8380952380952381,
|
1484 |
+
"grad_norm": 0.16632360219955444,
|
1485 |
+
"learning_rate": 0.0003126729751657015,
|
1486 |
+
"loss": 0.3851,
|
1487 |
+
"step": 1045
|
1488 |
+
},
|
1489 |
+
{
|
1490 |
+
"epoch": 0.8421052631578947,
|
1491 |
+
"grad_norm": 0.16034843027591705,
|
1492 |
+
"learning_rate": 0.0003111462225752,
|
1493 |
+
"loss": 0.3457,
|
1494 |
+
"step": 1050
|
1495 |
+
},
|
1496 |
+
{
|
1497 |
+
"epoch": 0.8461152882205514,
|
1498 |
+
"grad_norm": 0.1584872305393219,
|
1499 |
+
"learning_rate": 0.0003096170405128393,
|
1500 |
+
"loss": 0.3627,
|
1501 |
+
"step": 1055
|
1502 |
+
},
|
1503 |
+
{
|
1504 |
+
"epoch": 0.8501253132832081,
|
1505 |
+
"grad_norm": 0.15513049066066742,
|
1506 |
+
"learning_rate": 0.0003080854897363348,
|
1507 |
+
"loss": 0.3571,
|
1508 |
+
"step": 1060
|
1509 |
+
},
|
1510 |
+
{
|
1511 |
+
"epoch": 0.8541353383458646,
|
1512 |
+
"grad_norm": 0.18553143739700317,
|
1513 |
+
"learning_rate": 0.000306551631097516,
|
1514 |
+
"loss": 0.3844,
|
1515 |
+
"step": 1065
|
1516 |
+
},
|
1517 |
+
{
|
1518 |
+
"epoch": 0.8581453634085213,
|
1519 |
+
"grad_norm": 0.17072825133800507,
|
1520 |
+
"learning_rate": 0.00030501552553990885,
|
1521 |
+
"loss": 0.3968,
|
1522 |
+
"step": 1070
|
1523 |
+
},
|
1524 |
+
{
|
1525 |
+
"epoch": 0.8621553884711779,
|
1526 |
+
"grad_norm": 0.17334377765655518,
|
1527 |
+
"learning_rate": 0.00030347723409631413,
|
1528 |
+
"loss": 0.3759,
|
1529 |
+
"step": 1075
|
1530 |
+
},
|
1531 |
+
{
|
1532 |
+
"epoch": 0.8661654135338346,
|
1533 |
+
"grad_norm": 0.16847221553325653,
|
1534 |
+
"learning_rate": 0.00030193681788638274,
|
1535 |
+
"loss": 0.3437,
|
1536 |
+
"step": 1080
|
1537 |
+
},
|
1538 |
+
{
|
1539 |
+
"epoch": 0.8701754385964913,
|
1540 |
+
"grad_norm": 0.17665381729602814,
|
1541 |
+
"learning_rate": 0.000300394338114187,
|
1542 |
+
"loss": 0.3691,
|
1543 |
+
"step": 1085
|
1544 |
+
},
|
1545 |
+
{
|
1546 |
+
"epoch": 0.8741854636591478,
|
1547 |
+
"grad_norm": 0.17721857130527496,
|
1548 |
+
"learning_rate": 0.00029884985606578907,
|
1549 |
+
"loss": 0.3776,
|
1550 |
+
"step": 1090
|
1551 |
+
},
|
1552 |
+
{
|
1553 |
+
"epoch": 0.8781954887218045,
|
1554 |
+
"grad_norm": 0.14506922662258148,
|
1555 |
+
"learning_rate": 0.0002973034331068061,
|
1556 |
+
"loss": 0.3329,
|
1557 |
+
"step": 1095
|
1558 |
+
},
|
1559 |
+
{
|
1560 |
+
"epoch": 0.8822055137844611,
|
1561 |
+
"grad_norm": 0.14164331555366516,
|
1562 |
+
"learning_rate": 0.0002957551306799715,
|
1563 |
+
"loss": 0.3296,
|
1564 |
+
"step": 1100
|
1565 |
+
},
|
1566 |
+
{
|
1567 |
+
"epoch": 0.8862155388471178,
|
1568 |
+
"grad_norm": 0.17468836903572083,
|
1569 |
+
"learning_rate": 0.0002942050103026942,
|
1570 |
+
"loss": 0.3814,
|
1571 |
+
"step": 1105
|
1572 |
+
},
|
1573 |
+
{
|
1574 |
+
"epoch": 0.8902255639097745,
|
1575 |
+
"grad_norm": 0.1707754135131836,
|
1576 |
+
"learning_rate": 0.0002926531335646141,
|
1577 |
+
"loss": 0.3288,
|
1578 |
+
"step": 1110
|
1579 |
+
},
|
1580 |
+
{
|
1581 |
+
"epoch": 0.894235588972431,
|
1582 |
+
"grad_norm": 0.1548461616039276,
|
1583 |
+
"learning_rate": 0.0002910995621251554,
|
1584 |
+
"loss": 0.3837,
|
1585 |
+
"step": 1115
|
1586 |
+
},
|
1587 |
+
{
|
1588 |
+
"epoch": 0.8982456140350877,
|
1589 |
+
"grad_norm": 0.18606321513652802,
|
1590 |
+
"learning_rate": 0.000289544357711076,
|
1591 |
+
"loss": 0.411,
|
1592 |
+
"step": 1120
|
1593 |
+
},
|
1594 |
+
{
|
1595 |
+
"epoch": 0.9022556390977443,
|
1596 |
+
"grad_norm": 0.1885378062725067,
|
1597 |
+
"learning_rate": 0.00028798758211401586,
|
1598 |
+
"loss": 0.3965,
|
1599 |
+
"step": 1125
|
1600 |
+
},
|
1601 |
+
{
|
1602 |
+
"epoch": 0.906265664160401,
|
1603 |
+
"grad_norm": 0.15879781544208527,
|
1604 |
+
"learning_rate": 0.00028642929718804126,
|
1605 |
+
"loss": 0.3217,
|
1606 |
+
"step": 1130
|
1607 |
+
},
|
1608 |
+
{
|
1609 |
+
"epoch": 0.9102756892230577,
|
1610 |
+
"grad_norm": 0.16221250593662262,
|
1611 |
+
"learning_rate": 0.00028486956484718735,
|
1612 |
+
"loss": 0.3431,
|
1613 |
+
"step": 1135
|
1614 |
+
},
|
1615 |
+
{
|
1616 |
+
"epoch": 0.9142857142857143,
|
1617 |
+
"grad_norm": 0.15938705205917358,
|
1618 |
+
"learning_rate": 0.0002833084470629983,
|
1619 |
+
"loss": 0.3645,
|
1620 |
+
"step": 1140
|
1621 |
+
},
|
1622 |
+
{
|
1623 |
+
"epoch": 0.9182957393483709,
|
1624 |
+
"grad_norm": 0.18234948813915253,
|
1625 |
+
"learning_rate": 0.0002817460058620647,
|
1626 |
+
"loss": 0.3696,
|
1627 |
+
"step": 1145
|
1628 |
+
},
|
1629 |
+
{
|
1630 |
+
"epoch": 0.9223057644110275,
|
1631 |
+
"grad_norm": 0.17734579741954803,
|
1632 |
+
"learning_rate": 0.0002801823033235598,
|
1633 |
+
"loss": 0.3939,
|
1634 |
+
"step": 1150
|
1635 |
+
},
|
1636 |
+
{
|
1637 |
+
"epoch": 0.9263157894736842,
|
1638 |
+
"grad_norm": 0.17581012845039368,
|
1639 |
+
"learning_rate": 0.00027861740157677204,
|
1640 |
+
"loss": 0.3857,
|
1641 |
+
"step": 1155
|
1642 |
+
},
|
1643 |
+
{
|
1644 |
+
"epoch": 0.9303258145363409,
|
1645 |
+
"grad_norm": 0.16594088077545166,
|
1646 |
+
"learning_rate": 0.00027705136279863754,
|
1647 |
+
"loss": 0.3784,
|
1648 |
+
"step": 1160
|
1649 |
+
},
|
1650 |
+
{
|
1651 |
+
"epoch": 0.9343358395989975,
|
1652 |
+
"grad_norm": 0.17413030564785004,
|
1653 |
+
"learning_rate": 0.0002754842492112685,
|
1654 |
+
"loss": 0.3791,
|
1655 |
+
"step": 1165
|
1656 |
+
},
|
1657 |
+
{
|
1658 |
+
"epoch": 0.9383458646616541,
|
1659 |
+
"grad_norm": 0.16821810603141785,
|
1660 |
+
"learning_rate": 0.0002739161230794822,
|
1661 |
+
"loss": 0.3896,
|
1662 |
+
"step": 1170
|
1663 |
+
},
|
1664 |
+
{
|
1665 |
+
"epoch": 0.9423558897243107,
|
1666 |
+
"grad_norm": 0.18337774276733398,
|
1667 |
+
"learning_rate": 0.000272347046708326,
|
1668 |
+
"loss": 0.3745,
|
1669 |
+
"step": 1175
|
1670 |
+
},
|
1671 |
+
{
|
1672 |
+
"epoch": 0.9463659147869674,
|
1673 |
+
"grad_norm": 0.15810732543468475,
|
1674 |
+
"learning_rate": 0.00027077708244060283,
|
1675 |
+
"loss": 0.3576,
|
1676 |
+
"step": 1180
|
1677 |
+
},
|
1678 |
+
{
|
1679 |
+
"epoch": 0.9503759398496241,
|
1680 |
+
"grad_norm": 0.16330723464488983,
|
1681 |
+
"learning_rate": 0.00026920629265439326,
|
1682 |
+
"loss": 0.3641,
|
1683 |
+
"step": 1185
|
1684 |
+
},
|
1685 |
+
{
|
1686 |
+
"epoch": 0.9543859649122807,
|
1687 |
+
"grad_norm": 0.168942391872406,
|
1688 |
+
"learning_rate": 0.0002676347397605777,
|
1689 |
+
"loss": 0.36,
|
1690 |
+
"step": 1190
|
1691 |
+
},
|
1692 |
+
{
|
1693 |
+
"epoch": 0.9583959899749374,
|
1694 |
+
"grad_norm": 0.1779577136039734,
|
1695 |
+
"learning_rate": 0.0002660624862003566,
|
1696 |
+
"loss": 0.3644,
|
1697 |
+
"step": 1195
|
1698 |
+
},
|
1699 |
+
{
|
1700 |
+
"epoch": 0.9624060150375939,
|
1701 |
+
"grad_norm": 0.175537571310997,
|
1702 |
+
"learning_rate": 0.00026448959444276896,
|
1703 |
+
"loss": 0.3766,
|
1704 |
+
"step": 1200
|
1705 |
+
},
|
1706 |
+
{
|
1707 |
+
"epoch": 0.9664160401002506,
|
1708 |
+
"grad_norm": 0.17511993646621704,
|
1709 |
+
"learning_rate": 0.0002629161269822113,
|
1710 |
+
"loss": 0.3636,
|
1711 |
+
"step": 1205
|
1712 |
+
},
|
1713 |
+
{
|
1714 |
+
"epoch": 0.9704260651629073,
|
1715 |
+
"grad_norm": 0.17956364154815674,
|
1716 |
+
"learning_rate": 0.00026134214633595347,
|
1717 |
+
"loss": 0.3916,
|
1718 |
+
"step": 1210
|
1719 |
+
},
|
1720 |
+
{
|
1721 |
+
"epoch": 0.9744360902255639,
|
1722 |
+
"grad_norm": 0.15933747589588165,
|
1723 |
+
"learning_rate": 0.000259767715041656,
|
1724 |
+
"loss": 0.3316,
|
1725 |
+
"step": 1215
|
1726 |
+
},
|
1727 |
+
{
|
1728 |
+
"epoch": 0.9784461152882206,
|
1729 |
+
"grad_norm": 0.18015708029270172,
|
1730 |
+
"learning_rate": 0.000258192895654884,
|
1731 |
+
"loss": 0.3791,
|
1732 |
+
"step": 1220
|
1733 |
+
},
|
1734 |
+
{
|
1735 |
+
"epoch": 0.9824561403508771,
|
1736 |
+
"grad_norm": 0.15591025352478027,
|
1737 |
+
"learning_rate": 0.00025661775074662275,
|
1738 |
+
"loss": 0.3222,
|
1739 |
+
"step": 1225
|
1740 |
+
},
|
1741 |
+
{
|
1742 |
+
"epoch": 0.9864661654135338,
|
1743 |
+
"grad_norm": 0.1800549179315567,
|
1744 |
+
"learning_rate": 0.0002550423429007909,
|
1745 |
+
"loss": 0.3282,
|
1746 |
+
"step": 1230
|
1747 |
+
},
|
1748 |
+
{
|
1749 |
+
"epoch": 0.9904761904761905,
|
1750 |
+
"grad_norm": 0.1630546748638153,
|
1751 |
+
"learning_rate": 0.0002534667347117544,
|
1752 |
+
"loss": 0.3659,
|
1753 |
+
"step": 1235
|
1754 |
+
},
|
1755 |
+
{
|
1756 |
+
"epoch": 0.9944862155388471,
|
1757 |
+
"grad_norm": 0.169642373919487,
|
1758 |
+
"learning_rate": 0.0002518909887818393,
|
1759 |
+
"loss": 0.3409,
|
1760 |
+
"step": 1240
|
1761 |
+
},
|
1762 |
+
{
|
1763 |
+
"epoch": 0.9984962406015038,
|
1764 |
+
"grad_norm": 0.1650785356760025,
|
1765 |
+
"learning_rate": 0.00025031516771884416,
|
1766 |
+
"loss": 0.3632,
|
1767 |
+
"step": 1245
|
1768 |
+
},
|
1769 |
+
{
|
1770 |
+
"epoch": 0.9992982456140351,
|
1771 |
+
"eval_loss": 0.2687419354915619,
|
1772 |
+
"eval_runtime": 8.3871,
|
1773 |
+
"eval_samples_per_second": 6.558,
|
1774 |
+
"eval_steps_per_second": 0.835,
|
1775 |
+
"step": 1246
|
1776 |
+
},
|
1777 |
+
{
|
1778 |
+
"epoch": 1.0025062656641603,
|
1779 |
+
"grad_norm": 0.1833638846874237,
|
1780 |
+
"learning_rate": 0.000248739334133553,
|
1781 |
+
"loss": 0.3377,
|
1782 |
+
"step": 1250
|
1783 |
+
},
|
1784 |
+
{
|
1785 |
+
"epoch": 1.006516290726817,
|
1786 |
+
"grad_norm": 0.16308297216892242,
|
1787 |
+
"learning_rate": 0.00024716355063724707,
|
1788 |
+
"loss": 0.2999,
|
1789 |
+
"step": 1255
|
1790 |
+
},
|
1791 |
+
{
|
1792 |
+
"epoch": 1.0105263157894737,
|
1793 |
+
"grad_norm": 0.16679681837558746,
|
1794 |
+
"learning_rate": 0.00024558787983921783,
|
1795 |
+
"loss": 0.2986,
|
1796 |
+
"step": 1260
|
1797 |
+
},
|
1798 |
+
{
|
1799 |
+
"epoch": 1.0145363408521304,
|
1800 |
+
"grad_norm": 0.17338265478610992,
|
1801 |
+
"learning_rate": 0.0002440123843442788,
|
1802 |
+
"loss": 0.2845,
|
1803 |
+
"step": 1265
|
1804 |
+
},
|
1805 |
+
{
|
1806 |
+
"epoch": 1.0185463659147869,
|
1807 |
+
"grad_norm": 0.16227693855762482,
|
1808 |
+
"learning_rate": 0.00024243712675027827,
|
1809 |
+
"loss": 0.3051,
|
1810 |
+
"step": 1270
|
1811 |
+
},
|
1812 |
+
{
|
1813 |
+
"epoch": 1.0225563909774436,
|
1814 |
+
"grad_norm": 0.15637050569057465,
|
1815 |
+
"learning_rate": 0.00024086216964561236,
|
1816 |
+
"loss": 0.2896,
|
1817 |
+
"step": 1275
|
1818 |
+
},
|
1819 |
+
{
|
1820 |
+
"epoch": 1.0265664160401002,
|
1821 |
+
"grad_norm": 0.1684030145406723,
|
1822 |
+
"learning_rate": 0.00023928757560673808,
|
1823 |
+
"loss": 0.272,
|
1824 |
+
"step": 1280
|
1825 |
+
},
|
1826 |
+
{
|
1827 |
+
"epoch": 1.030576441102757,
|
1828 |
+
"grad_norm": 0.1560041755437851,
|
1829 |
+
"learning_rate": 0.00023771340719568688,
|
1830 |
+
"loss": 0.2795,
|
1831 |
+
"step": 1285
|
1832 |
+
},
|
1833 |
+
{
|
1834 |
+
"epoch": 1.0345864661654136,
|
1835 |
+
"grad_norm": 0.15775898098945618,
|
1836 |
+
"learning_rate": 0.00023613972695757919,
|
1837 |
+
"loss": 0.2721,
|
1838 |
+
"step": 1290
|
1839 |
+
},
|
1840 |
+
{
|
1841 |
+
"epoch": 1.03859649122807,
|
1842 |
+
"grad_norm": 0.17277134954929352,
|
1843 |
+
"learning_rate": 0.00023456659741813944,
|
1844 |
+
"loss": 0.2726,
|
1845 |
+
"step": 1295
|
1846 |
+
},
|
1847 |
+
{
|
1848 |
+
"epoch": 1.0426065162907268,
|
1849 |
+
"grad_norm": 0.15520408749580383,
|
1850 |
+
"learning_rate": 0.00023299408108121134,
|
1851 |
+
"loss": 0.2681,
|
1852 |
+
"step": 1300
|
1853 |
+
},
|
1854 |
+
{
|
1855 |
+
"epoch": 1.0466165413533834,
|
1856 |
+
"grad_norm": 0.16784396767616272,
|
1857 |
+
"learning_rate": 0.00023142224042627495,
|
1858 |
+
"loss": 0.2817,
|
1859 |
+
"step": 1305
|
1860 |
+
},
|
1861 |
+
{
|
1862 |
+
"epoch": 1.0506265664160401,
|
1863 |
+
"grad_norm": 0.16616085171699524,
|
1864 |
+
"learning_rate": 0.00022985113790596393,
|
1865 |
+
"loss": 0.2863,
|
1866 |
+
"step": 1310
|
1867 |
+
},
|
1868 |
+
{
|
1869 |
+
"epoch": 1.0546365914786968,
|
1870 |
+
"grad_norm": 0.15373535454273224,
|
1871 |
+
"learning_rate": 0.00022828083594358416,
|
1872 |
+
"loss": 0.2837,
|
1873 |
+
"step": 1315
|
1874 |
+
},
|
1875 |
+
{
|
1876 |
+
"epoch": 1.0586466165413533,
|
1877 |
+
"grad_norm": 0.15861855447292328,
|
1878 |
+
"learning_rate": 0.00022671139693063386,
|
1879 |
+
"loss": 0.2878,
|
1880 |
+
"step": 1320
|
1881 |
+
},
|
1882 |
+
{
|
1883 |
+
"epoch": 1.06265664160401,
|
1884 |
+
"grad_norm": 0.15624883770942688,
|
1885 |
+
"learning_rate": 0.00022514288322432414,
|
1886 |
+
"loss": 0.2952,
|
1887 |
+
"step": 1325
|
1888 |
+
},
|
1889 |
+
{
|
1890 |
+
"epoch": 1.0666666666666667,
|
1891 |
+
"grad_norm": 0.17166998982429504,
|
1892 |
+
"learning_rate": 0.0002235753571451018,
|
1893 |
+
"loss": 0.2957,
|
1894 |
+
"step": 1330
|
1895 |
+
},
|
1896 |
+
{
|
1897 |
+
"epoch": 1.0706766917293233,
|
1898 |
+
"grad_norm": 0.15910623967647552,
|
1899 |
+
"learning_rate": 0.00022200888097417305,
|
1900 |
+
"loss": 0.2954,
|
1901 |
+
"step": 1335
|
1902 |
+
},
|
1903 |
+
{
|
1904 |
+
"epoch": 1.07468671679198,
|
1905 |
+
"grad_norm": 0.154972106218338,
|
1906 |
+
"learning_rate": 0.00022044351695102907,
|
1907 |
+
"loss": 0.2624,
|
1908 |
+
"step": 1340
|
1909 |
+
},
|
1910 |
+
{
|
1911 |
+
"epoch": 1.0786967418546367,
|
1912 |
+
"grad_norm": 0.16736608743667603,
|
1913 |
+
"learning_rate": 0.00021887932727097278,
|
1914 |
+
"loss": 0.2677,
|
1915 |
+
"step": 1345
|
1916 |
+
},
|
1917 |
+
{
|
1918 |
+
"epoch": 1.0827067669172932,
|
1919 |
+
"grad_norm": 0.17113475501537323,
|
1920 |
+
"learning_rate": 0.00021731637408264822,
|
1921 |
+
"loss": 0.2613,
|
1922 |
+
"step": 1350
|
1923 |
+
},
|
1924 |
+
{
|
1925 |
+
"epoch": 1.0867167919799499,
|
1926 |
+
"grad_norm": 0.17451037466526031,
|
1927 |
+
"learning_rate": 0.00021575471948557062,
|
1928 |
+
"loss": 0.291,
|
1929 |
+
"step": 1355
|
1930 |
+
},
|
1931 |
+
{
|
1932 |
+
"epoch": 1.0907268170426065,
|
1933 |
+
"grad_norm": 0.15798042714595795,
|
1934 |
+
"learning_rate": 0.00021419442552765948,
|
1935 |
+
"loss": 0.2628,
|
1936 |
+
"step": 1360
|
1937 |
+
},
|
1938 |
+
{
|
1939 |
+
"epoch": 1.0947368421052632,
|
1940 |
+
"grad_norm": 0.17537885904312134,
|
1941 |
+
"learning_rate": 0.00021263555420277335,
|
1942 |
+
"loss": 0.2764,
|
1943 |
+
"step": 1365
|
1944 |
+
},
|
1945 |
+
{
|
1946 |
+
"epoch": 1.09874686716792,
|
1947 |
+
"grad_norm": 0.14623847603797913,
|
1948 |
+
"learning_rate": 0.00021107816744824617,
|
1949 |
+
"loss": 0.29,
|
1950 |
+
"step": 1370
|
1951 |
+
},
|
1952 |
+
{
|
1953 |
+
"epoch": 1.1027568922305764,
|
1954 |
+
"grad_norm": 0.17818230390548706,
|
1955 |
+
"learning_rate": 0.00020952232714242685,
|
1956 |
+
"loss": 0.2866,
|
1957 |
+
"step": 1375
|
1958 |
+
},
|
1959 |
+
{
|
1960 |
+
"epoch": 1.106766917293233,
|
1961 |
+
"grad_norm": 0.16421560943126678,
|
1962 |
+
"learning_rate": 0.00020796809510222048,
|
1963 |
+
"loss": 0.2718,
|
1964 |
+
"step": 1380
|
1965 |
+
},
|
1966 |
+
{
|
1967 |
+
"epoch": 1.1107769423558898,
|
1968 |
+
"grad_norm": 0.16824981570243835,
|
1969 |
+
"learning_rate": 0.00020641553308063247,
|
1970 |
+
"loss": 0.2976,
|
1971 |
+
"step": 1385
|
1972 |
+
},
|
1973 |
+
{
|
1974 |
+
"epoch": 1.1147869674185464,
|
1975 |
+
"grad_norm": 0.15799076855182648,
|
1976 |
+
"learning_rate": 0.00020486470276431446,
|
1977 |
+
"loss": 0.2934,
|
1978 |
+
"step": 1390
|
1979 |
+
},
|
1980 |
+
{
|
1981 |
+
"epoch": 1.1187969924812031,
|
1982 |
+
"grad_norm": 0.18710538744926453,
|
1983 |
+
"learning_rate": 0.000203315665771114,
|
1984 |
+
"loss": 0.2792,
|
1985 |
+
"step": 1395
|
1986 |
+
},
|
1987 |
+
{
|
1988 |
+
"epoch": 1.1228070175438596,
|
1989 |
+
"grad_norm": 0.18664434552192688,
|
1990 |
+
"learning_rate": 0.00020176848364762578,
|
1991 |
+
"loss": 0.3125,
|
1992 |
+
"step": 1400
|
1993 |
+
},
|
1994 |
+
{
|
1995 |
+
"epoch": 1.1268170426065163,
|
1996 |
+
"grad_norm": 0.14843712747097015,
|
1997 |
+
"learning_rate": 0.00020022321786674664,
|
1998 |
+
"loss": 0.2636,
|
1999 |
+
"step": 1405
|
2000 |
+
},
|
2001 |
+
{
|
2002 |
+
"epoch": 1.130827067669173,
|
2003 |
+
"grad_norm": 0.18187515437602997,
|
2004 |
+
"learning_rate": 0.000198679929825233,
|
2005 |
+
"loss": 0.3186,
|
2006 |
+
"step": 1410
|
2007 |
+
},
|
2008 |
+
{
|
2009 |
+
"epoch": 1.1348370927318296,
|
2010 |
+
"grad_norm": 0.15874765813350677,
|
2011 |
+
"learning_rate": 0.0001971386808412612,
|
2012 |
+
"loss": 0.2578,
|
2013 |
+
"step": 1415
|
2014 |
+
},
|
2015 |
+
{
|
2016 |
+
"epoch": 1.1388471177944863,
|
2017 |
+
"grad_norm": 0.17650403082370758,
|
2018 |
+
"learning_rate": 0.00019559953215199168,
|
2019 |
+
"loss": 0.3012,
|
2020 |
+
"step": 1420
|
2021 |
+
},
|
2022 |
+
{
|
2023 |
+
"epoch": 1.1428571428571428,
|
2024 |
+
"grad_norm": 0.17228610813617706,
|
2025 |
+
"learning_rate": 0.0001940625449111354,
|
2026 |
+
"loss": 0.2666,
|
2027 |
+
"step": 1425
|
2028 |
+
},
|
2029 |
+
{
|
2030 |
+
"epoch": 1.1468671679197995,
|
2031 |
+
"grad_norm": 0.15302354097366333,
|
2032 |
+
"learning_rate": 0.00019252778018652447,
|
2033 |
+
"loss": 0.272,
|
2034 |
+
"step": 1430
|
2035 |
+
},
|
2036 |
+
{
|
2037 |
+
"epoch": 1.1508771929824562,
|
2038 |
+
"grad_norm": 0.17536306381225586,
|
2039 |
+
"learning_rate": 0.0001909952989576855,
|
2040 |
+
"loss": 0.3183,
|
2041 |
+
"step": 1435
|
2042 |
+
},
|
2043 |
+
{
|
2044 |
+
"epoch": 1.1548872180451129,
|
2045 |
+
"grad_norm": 0.15911608934402466,
|
2046 |
+
"learning_rate": 0.00018946516211341695,
|
2047 |
+
"loss": 0.3022,
|
2048 |
+
"step": 1440
|
2049 |
+
},
|
2050 |
+
{
|
2051 |
+
"epoch": 1.1588972431077695,
|
2052 |
+
"grad_norm": 0.15123997628688812,
|
2053 |
+
"learning_rate": 0.00018793743044936972,
|
2054 |
+
"loss": 0.289,
|
2055 |
+
"step": 1445
|
2056 |
+
},
|
2057 |
+
{
|
2058 |
+
"epoch": 1.162907268170426,
|
2059 |
+
"grad_norm": 0.16768620908260345,
|
2060 |
+
"learning_rate": 0.00018641216466563183,
|
2061 |
+
"loss": 0.2694,
|
2062 |
+
"step": 1450
|
2063 |
+
},
|
2064 |
+
{
|
2065 |
+
"epoch": 1.1669172932330827,
|
2066 |
+
"grad_norm": 0.16061028838157654,
|
2067 |
+
"learning_rate": 0.00018488942536431618,
|
2068 |
+
"loss": 0.2824,
|
2069 |
+
"step": 1455
|
2070 |
+
},
|
2071 |
+
{
|
2072 |
+
"epoch": 1.1709273182957394,
|
2073 |
+
"grad_norm": 0.15412503480911255,
|
2074 |
+
"learning_rate": 0.00018336927304715356,
|
2075 |
+
"loss": 0.3025,
|
2076 |
+
"step": 1460
|
2077 |
+
},
|
2078 |
+
{
|
2079 |
+
"epoch": 1.174937343358396,
|
2080 |
+
"grad_norm": 0.17830166220664978,
|
2081 |
+
"learning_rate": 0.0001818517681130879,
|
2082 |
+
"loss": 0.3046,
|
2083 |
+
"step": 1465
|
2084 |
+
},
|
2085 |
+
{
|
2086 |
+
"epoch": 1.1789473684210527,
|
2087 |
+
"grad_norm": 0.17978624999523163,
|
2088 |
+
"learning_rate": 0.00018033697085587696,
|
2089 |
+
"loss": 0.2966,
|
2090 |
+
"step": 1470
|
2091 |
+
},
|
2092 |
+
{
|
2093 |
+
"epoch": 1.1829573934837092,
|
2094 |
+
"grad_norm": 0.1743180751800537,
|
2095 |
+
"learning_rate": 0.00017882494146169678,
|
2096 |
+
"loss": 0.3072,
|
2097 |
+
"step": 1475
|
2098 |
+
},
|
2099 |
+
{
|
2100 |
+
"epoch": 1.186967418546366,
|
2101 |
+
"grad_norm": 0.16470114886760712,
|
2102 |
+
"learning_rate": 0.00017731574000674996,
|
2103 |
+
"loss": 0.2797,
|
2104 |
+
"step": 1480
|
2105 |
+
},
|
2106 |
+
{
|
2107 |
+
"epoch": 1.1909774436090226,
|
2108 |
+
"grad_norm": 0.18040384352207184,
|
2109 |
+
"learning_rate": 0.0001758094264548792,
|
2110 |
+
"loss": 0.3093,
|
2111 |
+
"step": 1485
|
2112 |
+
},
|
2113 |
+
{
|
2114 |
+
"epoch": 1.1949874686716793,
|
2115 |
+
"grad_norm": 0.17426797747612,
|
2116 |
+
"learning_rate": 0.00017430606065518435,
|
2117 |
+
"loss": 0.318,
|
2118 |
+
"step": 1490
|
2119 |
+
},
|
2120 |
+
{
|
2121 |
+
"epoch": 1.198997493734336,
|
2122 |
+
"grad_norm": 0.1632205694913864,
|
2123 |
+
"learning_rate": 0.00017280570233964485,
|
2124 |
+
"loss": 0.2691,
|
2125 |
+
"step": 1495
|
2126 |
+
},
|
2127 |
+
{
|
2128 |
+
"epoch": 1.2030075187969924,
|
2129 |
+
"grad_norm": 0.1813742071390152,
|
2130 |
+
"learning_rate": 0.00017130841112074602,
|
2131 |
+
"loss": 0.2769,
|
2132 |
+
"step": 1500
|
2133 |
+
},
|
2134 |
+
{
|
2135 |
+
"epoch": 1.207017543859649,
|
2136 |
+
"grad_norm": 0.17400313913822174,
|
2137 |
+
"learning_rate": 0.00016981424648911112,
|
2138 |
+
"loss": 0.2723,
|
2139 |
+
"step": 1505
|
2140 |
+
},
|
2141 |
+
{
|
2142 |
+
"epoch": 1.2110275689223058,
|
2143 |
+
"grad_norm": 0.15530717372894287,
|
2144 |
+
"learning_rate": 0.0001683232678111371,
|
2145 |
+
"loss": 0.2971,
|
2146 |
+
"step": 1510
|
2147 |
+
},
|
2148 |
+
{
|
2149 |
+
"epoch": 1.2150375939849625,
|
2150 |
+
"grad_norm": 0.17954862117767334,
|
2151 |
+
"learning_rate": 0.00016683553432663616,
|
2152 |
+
"loss": 0.2866,
|
2153 |
+
"step": 1515
|
2154 |
+
},
|
2155 |
+
{
|
2156 |
+
"epoch": 1.2190476190476192,
|
2157 |
+
"grad_norm": 0.16163484752178192,
|
2158 |
+
"learning_rate": 0.0001653511051464819,
|
2159 |
+
"loss": 0.2557,
|
2160 |
+
"step": 1520
|
2161 |
+
},
|
2162 |
+
{
|
2163 |
+
"epoch": 1.2230576441102756,
|
2164 |
+
"grad_norm": 0.16374574601650238,
|
2165 |
+
"learning_rate": 0.00016387003925026077,
|
2166 |
+
"loss": 0.2956,
|
2167 |
+
"step": 1525
|
2168 |
+
},
|
2169 |
+
{
|
2170 |
+
"epoch": 1.2270676691729323,
|
2171 |
+
"grad_norm": 0.17792537808418274,
|
2172 |
+
"learning_rate": 0.0001623923954839287,
|
2173 |
+
"loss": 0.2777,
|
2174 |
+
"step": 1530
|
2175 |
+
},
|
2176 |
+
{
|
2177 |
+
"epoch": 1.231077694235589,
|
2178 |
+
"grad_norm": 0.18563567101955414,
|
2179 |
+
"learning_rate": 0.00016091823255747292,
|
2180 |
+
"loss": 0.301,
|
2181 |
+
"step": 1535
|
2182 |
+
},
|
2183 |
+
{
|
2184 |
+
"epoch": 1.2350877192982457,
|
2185 |
+
"grad_norm": 0.15728415548801422,
|
2186 |
+
"learning_rate": 0.00015944760904257942,
|
2187 |
+
"loss": 0.2784,
|
2188 |
+
"step": 1540
|
2189 |
+
},
|
2190 |
+
{
|
2191 |
+
"epoch": 1.2390977443609024,
|
2192 |
+
"grad_norm": 0.15651676058769226,
|
2193 |
+
"learning_rate": 0.00015798058337030551,
|
2194 |
+
"loss": 0.2876,
|
2195 |
+
"step": 1545
|
2196 |
+
},
|
2197 |
+
{
|
2198 |
+
"epoch": 1.2431077694235588,
|
2199 |
+
"grad_norm": 0.1799081265926361,
|
2200 |
+
"learning_rate": 0.00015651721382875874,
|
2201 |
+
"loss": 0.2919,
|
2202 |
+
"step": 1550
|
2203 |
+
},
|
2204 |
+
{
|
2205 |
+
"epoch": 1.2471177944862155,
|
2206 |
+
"grad_norm": 0.18436437845230103,
|
2207 |
+
"learning_rate": 0.00015505755856078048,
|
2208 |
+
"loss": 0.2934,
|
2209 |
+
"step": 1555
|
2210 |
+
},
|
2211 |
+
{
|
2212 |
+
"epoch": 1.2511278195488722,
|
2213 |
+
"grad_norm": 0.16269451379776,
|
2214 |
+
"learning_rate": 0.00015360167556163583,
|
2215 |
+
"loss": 0.2719,
|
2216 |
+
"step": 1560
|
2217 |
+
},
|
2218 |
+
{
|
2219 |
+
"epoch": 1.2551378446115289,
|
2220 |
+
"grad_norm": 0.15247991681098938,
|
2221 |
+
"learning_rate": 0.0001521496226767098,
|
2222 |
+
"loss": 0.2678,
|
2223 |
+
"step": 1565
|
2224 |
+
},
|
2225 |
+
{
|
2226 |
+
"epoch": 1.2591478696741856,
|
2227 |
+
"grad_norm": 0.1753372848033905,
|
2228 |
+
"learning_rate": 0.0001507014575992085,
|
2229 |
+
"loss": 0.3065,
|
2230 |
+
"step": 1570
|
2231 |
+
},
|
2232 |
+
{
|
2233 |
+
"epoch": 1.263157894736842,
|
2234 |
+
"grad_norm": 0.16919946670532227,
|
2235 |
+
"learning_rate": 0.0001492572378678669,
|
2236 |
+
"loss": 0.2659,
|
2237 |
+
"step": 1575
|
2238 |
+
},
|
2239 |
+
{
|
2240 |
+
"epoch": 1.2671679197994987,
|
2241 |
+
"grad_norm": 0.17600032687187195,
|
2242 |
+
"learning_rate": 0.00014781702086466314,
|
2243 |
+
"loss": 0.2987,
|
2244 |
+
"step": 1580
|
2245 |
+
},
|
2246 |
+
{
|
2247 |
+
"epoch": 1.2711779448621554,
|
2248 |
+
"grad_norm": 0.15909601747989655,
|
2249 |
+
"learning_rate": 0.000146380863812538,
|
2250 |
+
"loss": 0.2811,
|
2251 |
+
"step": 1585
|
2252 |
+
},
|
2253 |
+
{
|
2254 |
+
"epoch": 1.275187969924812,
|
2255 |
+
"grad_norm": 0.165226012468338,
|
2256 |
+
"learning_rate": 0.00014494882377312168,
|
2257 |
+
"loss": 0.2682,
|
2258 |
+
"step": 1590
|
2259 |
+
},
|
2260 |
+
{
|
2261 |
+
"epoch": 1.2791979949874688,
|
2262 |
+
"grad_norm": 0.17594917118549347,
|
2263 |
+
"learning_rate": 0.00014352095764446675,
|
2264 |
+
"loss": 0.2602,
|
2265 |
+
"step": 1595
|
2266 |
+
},
|
2267 |
+
{
|
2268 |
+
"epoch": 1.2832080200501252,
|
2269 |
+
"grad_norm": 0.154309943318367,
|
2270 |
+
"learning_rate": 0.0001420973221587869,
|
2271 |
+
"loss": 0.2579,
|
2272 |
+
"step": 1600
|
2273 |
+
},
|
2274 |
+
{
|
2275 |
+
"epoch": 1.287218045112782,
|
2276 |
+
"grad_norm": 0.16517868638038635,
|
2277 |
+
"learning_rate": 0.00014067797388020353,
|
2278 |
+
"loss": 0.2929,
|
2279 |
+
"step": 1605
|
2280 |
+
},
|
2281 |
+
{
|
2282 |
+
"epoch": 1.2912280701754386,
|
2283 |
+
"grad_norm": 0.1717553734779358,
|
2284 |
+
"learning_rate": 0.00013926296920249796,
|
2285 |
+
"loss": 0.2849,
|
2286 |
+
"step": 1610
|
2287 |
+
},
|
2288 |
+
{
|
2289 |
+
"epoch": 1.2952380952380953,
|
2290 |
+
"grad_norm": 0.16944153606891632,
|
2291 |
+
"learning_rate": 0.0001378523643468708,
|
2292 |
+
"loss": 0.2527,
|
2293 |
+
"step": 1615
|
2294 |
+
},
|
2295 |
+
{
|
2296 |
+
"epoch": 1.299248120300752,
|
2297 |
+
"grad_norm": 0.16444195806980133,
|
2298 |
+
"learning_rate": 0.00013644621535970804,
|
2299 |
+
"loss": 0.2665,
|
2300 |
+
"step": 1620
|
2301 |
+
},
|
2302 |
+
{
|
2303 |
+
"epoch": 1.3032581453634084,
|
2304 |
+
"grad_norm": 0.17226529121398926,
|
2305 |
+
"learning_rate": 0.0001350445781103547,
|
2306 |
+
"loss": 0.2758,
|
2307 |
+
"step": 1625
|
2308 |
+
},
|
2309 |
+
{
|
2310 |
+
"epoch": 1.3072681704260651,
|
2311 |
+
"grad_norm": 0.18174055218696594,
|
2312 |
+
"learning_rate": 0.0001336475082888943,
|
2313 |
+
"loss": 0.2831,
|
2314 |
+
"step": 1630
|
2315 |
+
},
|
2316 |
+
{
|
2317 |
+
"epoch": 1.3112781954887218,
|
2318 |
+
"grad_norm": 0.16900789737701416,
|
2319 |
+
"learning_rate": 0.00013225506140393696,
|
2320 |
+
"loss": 0.2882,
|
2321 |
+
"step": 1635
|
2322 |
+
},
|
2323 |
+
{
|
2324 |
+
"epoch": 1.3152882205513785,
|
2325 |
+
"grad_norm": 0.16686789691448212,
|
2326 |
+
"learning_rate": 0.00013086729278041304,
|
2327 |
+
"loss": 0.2556,
|
2328 |
+
"step": 1640
|
2329 |
+
},
|
2330 |
+
{
|
2331 |
+
"epoch": 1.3192982456140352,
|
2332 |
+
"grad_norm": 0.16731151938438416,
|
2333 |
+
"learning_rate": 0.00012948425755737592,
|
2334 |
+
"loss": 0.2665,
|
2335 |
+
"step": 1645
|
2336 |
+
},
|
2337 |
+
{
|
2338 |
+
"epoch": 1.3233082706766917,
|
2339 |
+
"grad_norm": 0.17180107533931732,
|
2340 |
+
"learning_rate": 0.00012810601068581056,
|
2341 |
+
"loss": 0.3001,
|
2342 |
+
"step": 1650
|
2343 |
+
},
|
2344 |
+
{
|
2345 |
+
"epoch": 1.3273182957393483,
|
2346 |
+
"grad_norm": 0.1701911836862564,
|
2347 |
+
"learning_rate": 0.0001267326069264501,
|
2348 |
+
"loss": 0.2977,
|
2349 |
+
"step": 1655
|
2350 |
+
},
|
2351 |
+
{
|
2352 |
+
"epoch": 1.331328320802005,
|
2353 |
+
"grad_norm": 0.19208161532878876,
|
2354 |
+
"learning_rate": 0.0001253641008476007,
|
2355 |
+
"loss": 0.2752,
|
2356 |
+
"step": 1660
|
2357 |
+
},
|
2358 |
+
{
|
2359 |
+
"epoch": 1.3353383458646617,
|
2360 |
+
"grad_norm": 0.15200825035572052,
|
2361 |
+
"learning_rate": 0.00012400054682297298,
|
2362 |
+
"loss": 0.2875,
|
2363 |
+
"step": 1665
|
2364 |
+
},
|
2365 |
+
{
|
2366 |
+
"epoch": 1.3393483709273184,
|
2367 |
+
"grad_norm": 0.17044006288051605,
|
2368 |
+
"learning_rate": 0.00012264199902952154,
|
2369 |
+
"loss": 0.2501,
|
2370 |
+
"step": 1670
|
2371 |
+
},
|
2372 |
+
{
|
2373 |
+
"epoch": 1.3433583959899749,
|
2374 |
+
"grad_norm": 0.16576853394508362,
|
2375 |
+
"learning_rate": 0.00012128851144529257,
|
2376 |
+
"loss": 0.2758,
|
2377 |
+
"step": 1675
|
2378 |
+
},
|
2379 |
+
{
|
2380 |
+
"epoch": 1.3473684210526315,
|
2381 |
+
"grad_norm": 0.17262569069862366,
|
2382 |
+
"learning_rate": 0.00011994013784727947,
|
2383 |
+
"loss": 0.2661,
|
2384 |
+
"step": 1680
|
2385 |
+
},
|
2386 |
+
{
|
2387 |
+
"epoch": 1.3513784461152882,
|
2388 |
+
"grad_norm": 0.161615252494812,
|
2389 |
+
"learning_rate": 0.00011859693180928574,
|
2390 |
+
"loss": 0.2689,
|
2391 |
+
"step": 1685
|
2392 |
+
},
|
2393 |
+
{
|
2394 |
+
"epoch": 1.355388471177945,
|
2395 |
+
"grad_norm": 0.16010525822639465,
|
2396 |
+
"learning_rate": 0.00011725894669979639,
|
2397 |
+
"loss": 0.2623,
|
2398 |
+
"step": 1690
|
2399 |
+
},
|
2400 |
+
{
|
2401 |
+
"epoch": 1.3593984962406016,
|
2402 |
+
"grad_norm": 0.1819092184305191,
|
2403 |
+
"learning_rate": 0.00011592623567985783,
|
2404 |
+
"loss": 0.2667,
|
2405 |
+
"step": 1695
|
2406 |
+
},
|
2407 |
+
{
|
2408 |
+
"epoch": 1.363408521303258,
|
2409 |
+
"grad_norm": 0.16817572712898254,
|
2410 |
+
"learning_rate": 0.00011459885170096537,
|
2411 |
+
"loss": 0.2756,
|
2412 |
+
"step": 1700
|
2413 |
+
},
|
2414 |
+
{
|
2415 |
+
"epoch": 1.3674185463659148,
|
2416 |
+
"grad_norm": 0.17827191948890686,
|
2417 |
+
"learning_rate": 0.00011327684750295958,
|
2418 |
+
"loss": 0.3166,
|
2419 |
+
"step": 1705
|
2420 |
+
},
|
2421 |
+
{
|
2422 |
+
"epoch": 1.3714285714285714,
|
2423 |
+
"grad_norm": 0.15747743844985962,
|
2424 |
+
"learning_rate": 0.00011196027561193045,
|
2425 |
+
"loss": 0.2952,
|
2426 |
+
"step": 1710
|
2427 |
+
},
|
2428 |
+
{
|
2429 |
+
"epoch": 1.3754385964912281,
|
2430 |
+
"grad_norm": 0.17462944984436035,
|
2431 |
+
"learning_rate": 0.00011064918833813073,
|
2432 |
+
"loss": 0.2754,
|
2433 |
+
"step": 1715
|
2434 |
+
},
|
2435 |
+
{
|
2436 |
+
"epoch": 1.3794486215538848,
|
2437 |
+
"grad_norm": 0.16550135612487793,
|
2438 |
+
"learning_rate": 0.00010934363777389752,
|
2439 |
+
"loss": 0.2658,
|
2440 |
+
"step": 1720
|
2441 |
+
},
|
2442 |
+
{
|
2443 |
+
"epoch": 1.3834586466165413,
|
2444 |
+
"grad_norm": 0.19006794691085815,
|
2445 |
+
"learning_rate": 0.00010804367579158256,
|
2446 |
+
"loss": 0.2679,
|
2447 |
+
"step": 1725
|
2448 |
+
},
|
2449 |
+
{
|
2450 |
+
"epoch": 1.387468671679198,
|
2451 |
+
"grad_norm": 0.2023632973432541,
|
2452 |
+
"learning_rate": 0.00010674935404149075,
|
2453 |
+
"loss": 0.2739,
|
2454 |
+
"step": 1730
|
2455 |
+
},
|
2456 |
+
{
|
2457 |
+
"epoch": 1.3914786967418546,
|
2458 |
+
"grad_norm": 0.17994622886180878,
|
2459 |
+
"learning_rate": 0.00010546072394982872,
|
2460 |
+
"loss": 0.2585,
|
2461 |
+
"step": 1735
|
2462 |
+
},
|
2463 |
+
{
|
2464 |
+
"epoch": 1.3954887218045113,
|
2465 |
+
"grad_norm": 0.1834658533334732,
|
2466 |
+
"learning_rate": 0.00010417783671666114,
|
2467 |
+
"loss": 0.2567,
|
2468 |
+
"step": 1740
|
2469 |
+
},
|
2470 |
+
{
|
2471 |
+
"epoch": 1.399498746867168,
|
2472 |
+
"grad_norm": 0.16949954628944397,
|
2473 |
+
"learning_rate": 0.00010290074331387617,
|
2474 |
+
"loss": 0.2462,
|
2475 |
+
"step": 1745
|
2476 |
+
},
|
2477 |
+
{
|
2478 |
+
"epoch": 1.4035087719298245,
|
2479 |
+
"grad_norm": 0.17096513509750366,
|
2480 |
+
"learning_rate": 0.00010162949448316089,
|
2481 |
+
"loss": 0.2818,
|
2482 |
+
"step": 1750
|
2483 |
+
},
|
2484 |
+
{
|
2485 |
+
"epoch": 1.4075187969924812,
|
2486 |
+
"grad_norm": 0.16146983206272125,
|
2487 |
+
"learning_rate": 0.00010036414073398479,
|
2488 |
+
"loss": 0.2691,
|
2489 |
+
"step": 1755
|
2490 |
+
},
|
2491 |
+
{
|
2492 |
+
"epoch": 1.4115288220551379,
|
2493 |
+
"grad_norm": 0.15868982672691345,
|
2494 |
+
"learning_rate": 9.910473234159286e-05,
|
2495 |
+
"loss": 0.2857,
|
2496 |
+
"step": 1760
|
2497 |
+
},
|
2498 |
+
{
|
2499 |
+
"epoch": 1.4155388471177945,
|
2500 |
+
"grad_norm": 0.1619461625814438,
|
2501 |
+
"learning_rate": 9.785131934500818e-05,
|
2502 |
+
"loss": 0.2807,
|
2503 |
+
"step": 1765
|
2504 |
+
},
|
2505 |
+
{
|
2506 |
+
"epoch": 1.4195488721804512,
|
2507 |
+
"grad_norm": 0.1557190865278244,
|
2508 |
+
"learning_rate": 9.660395154504401e-05,
|
2509 |
+
"loss": 0.2548,
|
2510 |
+
"step": 1770
|
2511 |
+
},
|
2512 |
+
{
|
2513 |
+
"epoch": 1.4235588972431077,
|
2514 |
+
"grad_norm": 0.17061957716941833,
|
2515 |
+
"learning_rate": 9.536267850232472e-05,
|
2516 |
+
"loss": 0.2801,
|
2517 |
+
"step": 1775
|
2518 |
+
},
|
2519 |
+
{
|
2520 |
+
"epoch": 1.4275689223057644,
|
2521 |
+
"grad_norm": 0.17641028761863708,
|
2522 |
+
"learning_rate": 9.412754953531663e-05,
|
2523 |
+
"loss": 0.2924,
|
2524 |
+
"step": 1780
|
2525 |
+
},
|
2526 |
+
{
|
2527 |
+
"epoch": 1.431578947368421,
|
2528 |
+
"grad_norm": 0.15920333564281464,
|
2529 |
+
"learning_rate": 9.289861371836885e-05,
|
2530 |
+
"loss": 0.2563,
|
2531 |
+
"step": 1785
|
2532 |
+
},
|
2533 |
+
{
|
2534 |
+
"epoch": 1.4355889724310777,
|
2535 |
+
"grad_norm": 0.15198518335819244,
|
2536 |
+
"learning_rate": 9.167591987976312e-05,
|
2537 |
+
"loss": 0.2357,
|
2538 |
+
"step": 1790
|
2539 |
+
},
|
2540 |
+
{
|
2541 |
+
"epoch": 1.4395989974937344,
|
2542 |
+
"grad_norm": 0.1758808046579361,
|
2543 |
+
"learning_rate": 9.045951659977397e-05,
|
2544 |
+
"loss": 0.2535,
|
2545 |
+
"step": 1795
|
2546 |
+
},
|
2547 |
+
{
|
2548 |
+
"epoch": 1.443609022556391,
|
2549 |
+
"grad_norm": 0.18127872049808502,
|
2550 |
+
"learning_rate": 8.924945220873823e-05,
|
2551 |
+
"loss": 0.2888,
|
2552 |
+
"step": 1800
|
2553 |
+
},
|
2554 |
+
{
|
2555 |
+
"epoch": 1.4476190476190476,
|
2556 |
+
"grad_norm": 0.1601109355688095,
|
2557 |
+
"learning_rate": 8.804577478513492e-05,
|
2558 |
+
"loss": 0.2528,
|
2559 |
+
"step": 1805
|
2560 |
+
},
|
2561 |
+
{
|
2562 |
+
"epoch": 1.4516290726817043,
|
2563 |
+
"grad_norm": 0.16406309604644775,
|
2564 |
+
"learning_rate": 8.684853215367522e-05,
|
2565 |
+
"loss": 0.2766,
|
2566 |
+
"step": 1810
|
2567 |
+
},
|
2568 |
+
{
|
2569 |
+
"epoch": 1.455639097744361,
|
2570 |
+
"grad_norm": 0.158805251121521,
|
2571 |
+
"learning_rate": 8.565777188340207e-05,
|
2572 |
+
"loss": 0.2747,
|
2573 |
+
"step": 1815
|
2574 |
+
},
|
2575 |
+
{
|
2576 |
+
"epoch": 1.4596491228070176,
|
2577 |
+
"grad_norm": 0.17480885982513428,
|
2578 |
+
"learning_rate": 8.44735412857999e-05,
|
2579 |
+
"loss": 0.3079,
|
2580 |
+
"step": 1820
|
2581 |
+
},
|
2582 |
+
{
|
2583 |
+
"epoch": 1.463659147869674,
|
2584 |
+
"grad_norm": 0.1617252379655838,
|
2585 |
+
"learning_rate": 8.329588741291535e-05,
|
2586 |
+
"loss": 0.2701,
|
2587 |
+
"step": 1825
|
2588 |
+
},
|
2589 |
+
{
|
2590 |
+
"epoch": 1.4676691729323308,
|
2591 |
+
"grad_norm": 0.1652277261018753,
|
2592 |
+
"learning_rate": 8.212485705548756e-05,
|
2593 |
+
"loss": 0.25,
|
2594 |
+
"step": 1830
|
2595 |
+
},
|
2596 |
+
{
|
2597 |
+
"epoch": 1.4716791979949875,
|
2598 |
+
"grad_norm": 0.16213206946849823,
|
2599 |
+
"learning_rate": 8.096049674108877e-05,
|
2600 |
+
"loss": 0.2683,
|
2601 |
+
"step": 1835
|
2602 |
+
},
|
2603 |
+
{
|
2604 |
+
"epoch": 1.4756892230576442,
|
2605 |
+
"grad_norm": 0.167341947555542,
|
2606 |
+
"learning_rate": 7.980285273227633e-05,
|
2607 |
+
"loss": 0.2724,
|
2608 |
+
"step": 1840
|
2609 |
+
},
|
2610 |
+
{
|
2611 |
+
"epoch": 1.4796992481203008,
|
2612 |
+
"grad_norm": 0.1590610146522522,
|
2613 |
+
"learning_rate": 7.865197102475388e-05,
|
2614 |
+
"loss": 0.2518,
|
2615 |
+
"step": 1845
|
2616 |
+
},
|
2617 |
+
{
|
2618 |
+
"epoch": 1.4837092731829573,
|
2619 |
+
"grad_norm": 0.16797657310962677,
|
2620 |
+
"learning_rate": 7.75078973455445e-05,
|
2621 |
+
"loss": 0.2651,
|
2622 |
+
"step": 1850
|
2623 |
+
},
|
2624 |
+
{
|
2625 |
+
"epoch": 1.487719298245614,
|
2626 |
+
"grad_norm": 0.17504721879959106,
|
2627 |
+
"learning_rate": 7.637067715117327e-05,
|
2628 |
+
"loss": 0.3017,
|
2629 |
+
"step": 1855
|
2630 |
+
},
|
2631 |
+
{
|
2632 |
+
"epoch": 1.4917293233082707,
|
2633 |
+
"grad_norm": 0.16186365485191345,
|
2634 |
+
"learning_rate": 7.52403556258617e-05,
|
2635 |
+
"loss": 0.2344,
|
2636 |
+
"step": 1860
|
2637 |
+
},
|
2638 |
+
{
|
2639 |
+
"epoch": 1.4957393483709274,
|
2640 |
+
"grad_norm": 0.17528776824474335,
|
2641 |
+
"learning_rate": 7.41169776797322e-05,
|
2642 |
+
"loss": 0.264,
|
2643 |
+
"step": 1865
|
2644 |
+
},
|
2645 |
+
{
|
2646 |
+
"epoch": 1.4989473684210526,
|
2647 |
+
"eval_loss": 0.2417936623096466,
|
2648 |
+
"eval_runtime": 8.3922,
|
2649 |
+
"eval_samples_per_second": 6.554,
|
2650 |
+
"eval_steps_per_second": 0.834,
|
2651 |
+
"step": 1869
|
2652 |
+
},
|
2653 |
+
{
|
2654 |
+
"epoch": 1.499749373433584,
|
2655 |
+
"grad_norm": 0.1840500384569168,
|
2656 |
+
"learning_rate": 7.300058794702352e-05,
|
2657 |
+
"loss": 0.27,
|
2658 |
+
"step": 1870
|
2659 |
+
},
|
2660 |
+
{
|
2661 |
+
"epoch": 1.5037593984962405,
|
2662 |
+
"grad_norm": 0.1910168081521988,
|
2663 |
+
"learning_rate": 7.189123078431784e-05,
|
2664 |
+
"loss": 0.2823,
|
2665 |
+
"step": 1875
|
2666 |
+
},
|
2667 |
+
{
|
2668 |
+
"epoch": 1.5077694235588972,
|
2669 |
+
"grad_norm": 0.16170190274715424,
|
2670 |
+
"learning_rate": 7.078895026877804e-05,
|
2671 |
+
"loss": 0.253,
|
2672 |
+
"step": 1880
|
2673 |
+
},
|
2674 |
+
{
|
2675 |
+
"epoch": 1.511779448621554,
|
2676 |
+
"grad_norm": 0.17806147038936615,
|
2677 |
+
"learning_rate": 6.969379019639635e-05,
|
2678 |
+
"loss": 0.2836,
|
2679 |
+
"step": 1885
|
2680 |
+
},
|
2681 |
+
{
|
2682 |
+
"epoch": 1.5157894736842106,
|
2683 |
+
"grad_norm": 0.15123490989208221,
|
2684 |
+
"learning_rate": 6.860579408025436e-05,
|
2685 |
+
"loss": 0.2495,
|
2686 |
+
"step": 1890
|
2687 |
+
},
|
2688 |
+
{
|
2689 |
+
"epoch": 1.5197994987468673,
|
2690 |
+
"grad_norm": 0.16695557534694672,
|
2691 |
+
"learning_rate": 6.752500514879437e-05,
|
2692 |
+
"loss": 0.2773,
|
2693 |
+
"step": 1895
|
2694 |
+
},
|
2695 |
+
{
|
2696 |
+
"epoch": 1.5238095238095237,
|
2697 |
+
"grad_norm": 0.16708271205425262,
|
2698 |
+
"learning_rate": 6.645146634410151e-05,
|
2699 |
+
"loss": 0.252,
|
2700 |
+
"step": 1900
|
2701 |
+
},
|
2702 |
+
{
|
2703 |
+
"epoch": 1.5278195488721804,
|
2704 |
+
"grad_norm": 0.1510598361492157,
|
2705 |
+
"learning_rate": 6.538522032019759e-05,
|
2706 |
+
"loss": 0.2373,
|
2707 |
+
"step": 1905
|
2708 |
+
},
|
2709 |
+
{
|
2710 |
+
"epoch": 1.531829573934837,
|
2711 |
+
"grad_norm": 0.1686723679304123,
|
2712 |
+
"learning_rate": 6.432630944134654e-05,
|
2713 |
+
"loss": 0.2743,
|
2714 |
+
"step": 1910
|
2715 |
+
},
|
2716 |
+
{
|
2717 |
+
"epoch": 1.5358395989974938,
|
2718 |
+
"grad_norm": 0.16884025931358337,
|
2719 |
+
"learning_rate": 6.327477578037106e-05,
|
2720 |
+
"loss": 0.2673,
|
2721 |
+
"step": 1915
|
2722 |
+
},
|
2723 |
+
{
|
2724 |
+
"epoch": 1.5398496240601505,
|
2725 |
+
"grad_norm": 0.16477200388908386,
|
2726 |
+
"learning_rate": 6.223066111698111e-05,
|
2727 |
+
"loss": 0.2713,
|
2728 |
+
"step": 1920
|
2729 |
+
},
|
2730 |
+
{
|
2731 |
+
"epoch": 1.543859649122807,
|
2732 |
+
"grad_norm": 0.18342123925685883,
|
2733 |
+
"learning_rate": 6.119400693611357e-05,
|
2734 |
+
"loss": 0.2791,
|
2735 |
+
"step": 1925
|
2736 |
+
},
|
2737 |
+
{
|
2738 |
+
"epoch": 1.5478696741854636,
|
2739 |
+
"grad_norm": 0.16829492151737213,
|
2740 |
+
"learning_rate": 6.0164854426284447e-05,
|
2741 |
+
"loss": 0.2702,
|
2742 |
+
"step": 1930
|
2743 |
+
},
|
2744 |
+
{
|
2745 |
+
"epoch": 1.5518796992481203,
|
2746 |
+
"grad_norm": 0.16608929634094238,
|
2747 |
+
"learning_rate": 5.914324447795186e-05,
|
2748 |
+
"loss": 0.2741,
|
2749 |
+
"step": 1935
|
2750 |
+
},
|
2751 |
+
{
|
2752 |
+
"epoch": 1.555889724310777,
|
2753 |
+
"grad_norm": 0.16408754885196686,
|
2754 |
+
"learning_rate": 5.8129217681891886e-05,
|
2755 |
+
"loss": 0.2661,
|
2756 |
+
"step": 1940
|
2757 |
+
},
|
2758 |
+
{
|
2759 |
+
"epoch": 1.5598997493734337,
|
2760 |
+
"grad_norm": 0.1709819734096527,
|
2761 |
+
"learning_rate": 5.7122814327585316e-05,
|
2762 |
+
"loss": 0.2557,
|
2763 |
+
"step": 1945
|
2764 |
+
},
|
2765 |
+
{
|
2766 |
+
"epoch": 1.5639097744360901,
|
2767 |
+
"grad_norm": 0.187583327293396,
|
2768 |
+
"learning_rate": 5.612407440161721e-05,
|
2769 |
+
"loss": 0.2623,
|
2770 |
+
"step": 1950
|
2771 |
+
},
|
2772 |
+
{
|
2773 |
+
"epoch": 1.5679197994987468,
|
2774 |
+
"grad_norm": 0.16979658603668213,
|
2775 |
+
"learning_rate": 5.513303758608804e-05,
|
2776 |
+
"loss": 0.2615,
|
2777 |
+
"step": 1955
|
2778 |
+
},
|
2779 |
+
{
|
2780 |
+
"epoch": 1.5719298245614035,
|
2781 |
+
"grad_norm": 0.13367925584316254,
|
2782 |
+
"learning_rate": 5.414974325703686e-05,
|
2783 |
+
"loss": 0.2276,
|
2784 |
+
"step": 1960
|
2785 |
+
},
|
2786 |
+
{
|
2787 |
+
"epoch": 1.5759398496240602,
|
2788 |
+
"grad_norm": 0.17686474323272705,
|
2789 |
+
"learning_rate": 5.317423048287717e-05,
|
2790 |
+
"loss": 0.2444,
|
2791 |
+
"step": 1965
|
2792 |
+
},
|
2793 |
+
{
|
2794 |
+
"epoch": 1.5799498746867169,
|
2795 |
+
"grad_norm": 0.17005467414855957,
|
2796 |
+
"learning_rate": 5.220653802284439e-05,
|
2797 |
+
"loss": 0.2581,
|
2798 |
+
"step": 1970
|
2799 |
+
},
|
2800 |
+
{
|
2801 |
+
"epoch": 1.5839598997493733,
|
2802 |
+
"grad_norm": 0.1664769947528839,
|
2803 |
+
"learning_rate": 5.124670432545578e-05,
|
2804 |
+
"loss": 0.2628,
|
2805 |
+
"step": 1975
|
2806 |
+
},
|
2807 |
+
{
|
2808 |
+
"epoch": 1.58796992481203,
|
2809 |
+
"grad_norm": 0.17945070564746857,
|
2810 |
+
"learning_rate": 5.0294767526983006e-05,
|
2811 |
+
"loss": 0.276,
|
2812 |
+
"step": 1980
|
2813 |
+
},
|
2814 |
+
{
|
2815 |
+
"epoch": 1.5919799498746867,
|
2816 |
+
"grad_norm": 0.1758703887462616,
|
2817 |
+
"learning_rate": 4.9350765449936915e-05,
|
2818 |
+
"loss": 0.2744,
|
2819 |
+
"step": 1985
|
2820 |
+
},
|
2821 |
+
{
|
2822 |
+
"epoch": 1.5959899749373434,
|
2823 |
+
"grad_norm": 0.1651277393102646,
|
2824 |
+
"learning_rate": 4.84147356015647e-05,
|
2825 |
+
"loss": 0.2872,
|
2826 |
+
"step": 1990
|
2827 |
+
},
|
2828 |
+
{
|
2829 |
+
"epoch": 1.6,
|
2830 |
+
"grad_norm": 0.16701501607894897,
|
2831 |
+
"learning_rate": 4.748671517235948e-05,
|
2832 |
+
"loss": 0.2676,
|
2833 |
+
"step": 1995
|
2834 |
+
},
|
2835 |
+
{
|
2836 |
+
"epoch": 1.6040100250626566,
|
2837 |
+
"grad_norm": 0.16929472982883453,
|
2838 |
+
"learning_rate": 4.656674103458291e-05,
|
2839 |
+
"loss": 0.2498,
|
2840 |
+
"step": 2000
|
2841 |
+
},
|
2842 |
+
{
|
2843 |
+
"epoch": 1.6080200501253132,
|
2844 |
+
"grad_norm": 0.15207117795944214,
|
2845 |
+
"learning_rate": 4.5654849740800145e-05,
|
2846 |
+
"loss": 0.26,
|
2847 |
+
"step": 2005
|
2848 |
+
},
|
2849 |
+
{
|
2850 |
+
"epoch": 1.61203007518797,
|
2851 |
+
"grad_norm": 0.15770703554153442,
|
2852 |
+
"learning_rate": 4.47510775224273e-05,
|
2853 |
+
"loss": 0.2644,
|
2854 |
+
"step": 2010
|
2855 |
+
},
|
2856 |
+
{
|
2857 |
+
"epoch": 1.6160401002506266,
|
2858 |
+
"grad_norm": 0.16916294395923615,
|
2859 |
+
"learning_rate": 4.38554602882921e-05,
|
2860 |
+
"loss": 0.3026,
|
2861 |
+
"step": 2015
|
2862 |
+
},
|
2863 |
+
{
|
2864 |
+
"epoch": 1.6200501253132833,
|
2865 |
+
"grad_norm": 0.16087712347507477,
|
2866 |
+
"learning_rate": 4.2968033623206974e-05,
|
2867 |
+
"loss": 0.2632,
|
2868 |
+
"step": 2020
|
2869 |
+
},
|
2870 |
+
{
|
2871 |
+
"epoch": 1.6240601503759398,
|
2872 |
+
"grad_norm": 0.18064051866531372,
|
2873 |
+
"learning_rate": 4.2088832786555456e-05,
|
2874 |
+
"loss": 0.2654,
|
2875 |
+
"step": 2025
|
2876 |
+
},
|
2877 |
+
{
|
2878 |
+
"epoch": 1.6280701754385964,
|
2879 |
+
"grad_norm": 0.17459240555763245,
|
2880 |
+
"learning_rate": 4.121789271089113e-05,
|
2881 |
+
"loss": 0.276,
|
2882 |
+
"step": 2030
|
2883 |
+
},
|
2884 |
+
{
|
2885 |
+
"epoch": 1.6320802005012531,
|
2886 |
+
"grad_norm": 0.15657363831996918,
|
2887 |
+
"learning_rate": 4.0355248000549434e-05,
|
2888 |
+
"loss": 0.241,
|
2889 |
+
"step": 2035
|
2890 |
+
},
|
2891 |
+
{
|
2892 |
+
"epoch": 1.6360902255639098,
|
2893 |
+
"grad_norm": 0.1620418131351471,
|
2894 |
+
"learning_rate": 3.950093293027318e-05,
|
2895 |
+
"loss": 0.2821,
|
2896 |
+
"step": 2040
|
2897 |
+
},
|
2898 |
+
{
|
2899 |
+
"epoch": 1.6401002506265665,
|
2900 |
+
"grad_norm": 0.18404340744018555,
|
2901 |
+
"learning_rate": 3.865498144385049e-05,
|
2902 |
+
"loss": 0.2935,
|
2903 |
+
"step": 2045
|
2904 |
+
},
|
2905 |
+
{
|
2906 |
+
"epoch": 1.644110275689223,
|
2907 |
+
"grad_norm": 0.16540312767028809,
|
2908 |
+
"learning_rate": 3.7817427152766094e-05,
|
2909 |
+
"loss": 0.2583,
|
2910 |
+
"step": 2050
|
2911 |
+
},
|
2912 |
+
{
|
2913 |
+
"epoch": 1.6481203007518797,
|
2914 |
+
"grad_norm": 0.16649490594863892,
|
2915 |
+
"learning_rate": 3.6988303334866054e-05,
|
2916 |
+
"loss": 0.2774,
|
2917 |
+
"step": 2055
|
2918 |
+
},
|
2919 |
+
{
|
2920 |
+
"epoch": 1.6521303258145363,
|
2921 |
+
"grad_norm": 0.1626511514186859,
|
2922 |
+
"learning_rate": 3.6167642933035486e-05,
|
2923 |
+
"loss": 0.2467,
|
2924 |
+
"step": 2060
|
2925 |
+
},
|
2926 |
+
{
|
2927 |
+
"epoch": 1.656140350877193,
|
2928 |
+
"grad_norm": 0.16354456543922424,
|
2929 |
+
"learning_rate": 3.535547855388963e-05,
|
2930 |
+
"loss": 0.2544,
|
2931 |
+
"step": 2065
|
2932 |
+
},
|
2933 |
+
{
|
2934 |
+
"epoch": 1.6601503759398497,
|
2935 |
+
"grad_norm": 0.16961799561977386,
|
2936 |
+
"learning_rate": 3.455184246647822e-05,
|
2937 |
+
"loss": 0.2389,
|
2938 |
+
"step": 2070
|
2939 |
+
},
|
2940 |
+
{
|
2941 |
+
"epoch": 1.6641604010025062,
|
2942 |
+
"grad_norm": 0.17093317210674286,
|
2943 |
+
"learning_rate": 3.375676660100366e-05,
|
2944 |
+
"loss": 0.2767,
|
2945 |
+
"step": 2075
|
2946 |
+
},
|
2947 |
+
{
|
2948 |
+
"epoch": 1.6681704260651629,
|
2949 |
+
"grad_norm": 0.1904112696647644,
|
2950 |
+
"learning_rate": 3.297028254755221e-05,
|
2951 |
+
"loss": 0.29,
|
2952 |
+
"step": 2080
|
2953 |
+
},
|
2954 |
+
{
|
2955 |
+
"epoch": 1.6721804511278195,
|
2956 |
+
"grad_norm": 0.18005013465881348,
|
2957 |
+
"learning_rate": 3.219242155483868e-05,
|
2958 |
+
"loss": 0.249,
|
2959 |
+
"step": 2085
|
2960 |
+
},
|
2961 |
+
{
|
2962 |
+
"epoch": 1.6761904761904762,
|
2963 |
+
"grad_norm": 0.1755589246749878,
|
2964 |
+
"learning_rate": 3.142321452896504e-05,
|
2965 |
+
"loss": 0.2956,
|
2966 |
+
"step": 2090
|
2967 |
+
},
|
2968 |
+
{
|
2969 |
+
"epoch": 1.680200501253133,
|
2970 |
+
"grad_norm": 0.15832673013210297,
|
2971 |
+
"learning_rate": 3.0662692032192516e-05,
|
2972 |
+
"loss": 0.2561,
|
2973 |
+
"step": 2095
|
2974 |
+
},
|
2975 |
+
{
|
2976 |
+
"epoch": 1.6842105263157894,
|
2977 |
+
"grad_norm": 0.15485481917858124,
|
2978 |
+
"learning_rate": 2.9910884281727225e-05,
|
2979 |
+
"loss": 0.2502,
|
2980 |
+
"step": 2100
|
2981 |
+
},
|
2982 |
+
{
|
2983 |
+
"epoch": 1.688220551378446,
|
2984 |
+
"grad_norm": 0.16627748310565948,
|
2985 |
+
"learning_rate": 2.916782114851918e-05,
|
2986 |
+
"loss": 0.2939,
|
2987 |
+
"step": 2105
|
2988 |
+
},
|
2989 |
+
{
|
2990 |
+
"epoch": 1.6922305764411028,
|
2991 |
+
"grad_norm": 0.17444783449172974,
|
2992 |
+
"learning_rate": 2.843353215607619e-05,
|
2993 |
+
"loss": 0.2731,
|
2994 |
+
"step": 2110
|
2995 |
+
},
|
2996 |
+
{
|
2997 |
+
"epoch": 1.6962406015037594,
|
2998 |
+
"grad_norm": 0.17445623874664307,
|
2999 |
+
"learning_rate": 2.7708046479290316e-05,
|
3000 |
+
"loss": 0.2752,
|
3001 |
+
"step": 2115
|
3002 |
+
},
|
3003 |
+
{
|
3004 |
+
"epoch": 1.7002506265664161,
|
3005 |
+
"grad_norm": 0.17704740166664124,
|
3006 |
+
"learning_rate": 2.6991392943278874e-05,
|
3007 |
+
"loss": 0.2423,
|
3008 |
+
"step": 2120
|
3009 |
+
},
|
3010 |
+
{
|
3011 |
+
"epoch": 1.7042606516290726,
|
3012 |
+
"grad_norm": 0.16555817425251007,
|
3013 |
+
"learning_rate": 2.6283600022238925e-05,
|
3014 |
+
"loss": 0.2811,
|
3015 |
+
"step": 2125
|
3016 |
+
},
|
3017 |
+
{
|
3018 |
+
"epoch": 1.7082706766917293,
|
3019 |
+
"grad_norm": 0.1633770912885666,
|
3020 |
+
"learning_rate": 2.5584695838316323e-05,
|
3021 |
+
"loss": 0.2463,
|
3022 |
+
"step": 2130
|
3023 |
+
},
|
3024 |
+
{
|
3025 |
+
"epoch": 1.712280701754386,
|
3026 |
+
"grad_norm": 0.17787782847881317,
|
3027 |
+
"learning_rate": 2.4894708160488057e-05,
|
3028 |
+
"loss": 0.266,
|
3029 |
+
"step": 2135
|
3030 |
+
},
|
3031 |
+
{
|
3032 |
+
"epoch": 1.7162907268170426,
|
3033 |
+
"grad_norm": 0.15796466171741486,
|
3034 |
+
"learning_rate": 2.4213664403458903e-05,
|
3035 |
+
"loss": 0.2574,
|
3036 |
+
"step": 2140
|
3037 |
+
},
|
3038 |
+
{
|
3039 |
+
"epoch": 1.7203007518796993,
|
3040 |
+
"grad_norm": 0.1675783395767212,
|
3041 |
+
"learning_rate": 2.3541591626572518e-05,
|
3042 |
+
"loss": 0.251,
|
3043 |
+
"step": 2145
|
3044 |
+
},
|
3045 |
+
{
|
3046 |
+
"epoch": 1.7243107769423558,
|
3047 |
+
"grad_norm": 0.17418669164180756,
|
3048 |
+
"learning_rate": 2.287851653273587e-05,
|
3049 |
+
"loss": 0.2552,
|
3050 |
+
"step": 2150
|
3051 |
+
},
|
3052 |
+
{
|
3053 |
+
"epoch": 1.7283208020050125,
|
3054 |
+
"grad_norm": 0.17587542533874512,
|
3055 |
+
"learning_rate": 2.222446546735868e-05,
|
3056 |
+
"loss": 0.272,
|
3057 |
+
"step": 2155
|
3058 |
+
},
|
3059 |
+
{
|
3060 |
+
"epoch": 1.7323308270676692,
|
3061 |
+
"grad_norm": 0.17269235849380493,
|
3062 |
+
"learning_rate": 2.1579464417306266e-05,
|
3063 |
+
"loss": 0.2586,
|
3064 |
+
"step": 2160
|
3065 |
+
},
|
3066 |
+
{
|
3067 |
+
"epoch": 1.7363408521303259,
|
3068 |
+
"grad_norm": 0.1612161546945572,
|
3069 |
+
"learning_rate": 2.0943539009867423e-05,
|
3070 |
+
"loss": 0.2783,
|
3071 |
+
"step": 2165
|
3072 |
+
},
|
3073 |
+
{
|
3074 |
+
"epoch": 1.7403508771929825,
|
3075 |
+
"grad_norm": 0.15821614861488342,
|
3076 |
+
"learning_rate": 2.0316714511736002e-05,
|
3077 |
+
"loss": 0.2634,
|
3078 |
+
"step": 2170
|
3079 |
+
},
|
3080 |
+
{
|
3081 |
+
"epoch": 1.744360902255639,
|
3082 |
+
"grad_norm": 0.17940925061702728,
|
3083 |
+
"learning_rate": 1.9699015828006788e-05,
|
3084 |
+
"loss": 0.2632,
|
3085 |
+
"step": 2175
|
3086 |
+
},
|
3087 |
+
{
|
3088 |
+
"epoch": 1.7483709273182957,
|
3089 |
+
"grad_norm": 0.1658666729927063,
|
3090 |
+
"learning_rate": 1.909046750118648e-05,
|
3091 |
+
"loss": 0.2666,
|
3092 |
+
"step": 2180
|
3093 |
+
},
|
3094 |
+
{
|
3095 |
+
"epoch": 1.7523809523809524,
|
3096 |
+
"grad_norm": 0.16111963987350464,
|
3097 |
+
"learning_rate": 1.849109371021815e-05,
|
3098 |
+
"loss": 0.2561,
|
3099 |
+
"step": 2185
|
3100 |
+
},
|
3101 |
+
{
|
3102 |
+
"epoch": 1.756390977443609,
|
3103 |
+
"grad_norm": 0.17400680482387543,
|
3104 |
+
"learning_rate": 1.7900918269520672e-05,
|
3105 |
+
"loss": 0.2499,
|
3106 |
+
"step": 2190
|
3107 |
+
},
|
3108 |
+
{
|
3109 |
+
"epoch": 1.7604010025062657,
|
3110 |
+
"grad_norm": 0.16988424956798553,
|
3111 |
+
"learning_rate": 1.73199646280425e-05,
|
3112 |
+
"loss": 0.2719,
|
3113 |
+
"step": 2195
|
3114 |
+
},
|
3115 |
+
{
|
3116 |
+
"epoch": 1.7644110275689222,
|
3117 |
+
"grad_norm": 0.16524524986743927,
|
3118 |
+
"learning_rate": 1.6748255868330148e-05,
|
3119 |
+
"loss": 0.2296,
|
3120 |
+
"step": 2200
|
3121 |
+
},
|
3122 |
+
{
|
3123 |
+
"epoch": 1.768421052631579,
|
3124 |
+
"grad_norm": 0.18039652705192566,
|
3125 |
+
"learning_rate": 1.6185814705610925e-05,
|
3126 |
+
"loss": 0.2677,
|
3127 |
+
"step": 2205
|
3128 |
+
},
|
3129 |
+
{
|
3130 |
+
"epoch": 1.7724310776942356,
|
3131 |
+
"grad_norm": 0.1674271821975708,
|
3132 |
+
"learning_rate": 1.5632663486890407e-05,
|
3133 |
+
"loss": 0.2644,
|
3134 |
+
"step": 2210
|
3135 |
+
},
|
3136 |
+
{
|
3137 |
+
"epoch": 1.7764411027568923,
|
3138 |
+
"grad_norm": 0.1731635481119156,
|
3139 |
+
"learning_rate": 1.5088824190064521e-05,
|
3140 |
+
"loss": 0.2676,
|
3141 |
+
"step": 2215
|
3142 |
+
},
|
3143 |
+
{
|
3144 |
+
"epoch": 1.780451127819549,
|
3145 |
+
"grad_norm": 0.1482301503419876,
|
3146 |
+
"learning_rate": 1.455431842304647e-05,
|
3147 |
+
"loss": 0.2497,
|
3148 |
+
"step": 2220
|
3149 |
+
},
|
3150 |
+
{
|
3151 |
+
"epoch": 1.7844611528822054,
|
3152 |
+
"grad_norm": 0.16372230648994446,
|
3153 |
+
"learning_rate": 1.4029167422908107e-05,
|
3154 |
+
"loss": 0.266,
|
3155 |
+
"step": 2225
|
3156 |
+
},
|
3157 |
+
{
|
3158 |
+
"epoch": 1.788471177944862,
|
3159 |
+
"grad_norm": 0.17107130587100983,
|
3160 |
+
"learning_rate": 1.3513392055036072e-05,
|
3161 |
+
"loss": 0.279,
|
3162 |
+
"step": 2230
|
3163 |
+
},
|
3164 |
+
{
|
3165 |
+
"epoch": 1.7924812030075188,
|
3166 |
+
"grad_norm": 0.15426160395145416,
|
3167 |
+
"learning_rate": 1.3007012812302737e-05,
|
3168 |
+
"loss": 0.2512,
|
3169 |
+
"step": 2235
|
3170 |
+
},
|
3171 |
+
{
|
3172 |
+
"epoch": 1.7964912280701755,
|
3173 |
+
"grad_norm": 0.16106005012989044,
|
3174 |
+
"learning_rate": 1.25100498142523e-05,
|
3175 |
+
"loss": 0.2639,
|
3176 |
+
"step": 2240
|
3177 |
+
},
|
3178 |
+
{
|
3179 |
+
"epoch": 1.8005012531328322,
|
3180 |
+
"grad_norm": 0.16801631450653076,
|
3181 |
+
"learning_rate": 1.2022522806301005e-05,
|
3182 |
+
"loss": 0.2504,
|
3183 |
+
"step": 2245
|
3184 |
+
},
|
3185 |
+
{
|
3186 |
+
"epoch": 1.8045112781954886,
|
3187 |
+
"grad_norm": 0.15076345205307007,
|
3188 |
+
"learning_rate": 1.1544451158952807e-05,
|
3189 |
+
"loss": 0.2516,
|
3190 |
+
"step": 2250
|
3191 |
+
},
|
3192 |
+
{
|
3193 |
+
"epoch": 1.8085213032581455,
|
3194 |
+
"grad_norm": 0.16535955667495728,
|
3195 |
+
"learning_rate": 1.1075853867029694e-05,
|
3196 |
+
"loss": 0.2541,
|
3197 |
+
"step": 2255
|
3198 |
+
},
|
3199 |
+
{
|
3200 |
+
"epoch": 1.812531328320802,
|
3201 |
+
"grad_norm": 0.14483940601348877,
|
3202 |
+
"learning_rate": 1.0616749548917059e-05,
|
3203 |
+
"loss": 0.2392,
|
3204 |
+
"step": 2260
|
3205 |
+
},
|
3206 |
+
{
|
3207 |
+
"epoch": 1.8165413533834587,
|
3208 |
+
"grad_norm": 0.1692323386669159,
|
3209 |
+
"learning_rate": 1.0167156445823777e-05,
|
3210 |
+
"loss": 0.2535,
|
3211 |
+
"step": 2265
|
3212 |
+
},
|
3213 |
+
{
|
3214 |
+
"epoch": 1.8205513784461154,
|
3215 |
+
"grad_norm": 0.15716001391410828,
|
3216 |
+
"learning_rate": 9.727092421057627e-06,
|
3217 |
+
"loss": 0.2369,
|
3218 |
+
"step": 2270
|
3219 |
+
},
|
3220 |
+
{
|
3221 |
+
"epoch": 1.8245614035087718,
|
3222 |
+
"grad_norm": 0.14877931773662567,
|
3223 |
+
"learning_rate": 9.296574959315463e-06,
|
3224 |
+
"loss": 0.2565,
|
3225 |
+
"step": 2275
|
3226 |
+
},
|
3227 |
+
{
|
3228 |
+
"epoch": 1.8285714285714287,
|
3229 |
+
"grad_norm": 0.1587458699941635,
|
3230 |
+
"learning_rate": 8.875621165988474e-06,
|
3231 |
+
"loss": 0.269,
|
3232 |
+
"step": 2280
|
3233 |
+
},
|
3234 |
+
{
|
3235 |
+
"epoch": 1.8325814536340852,
|
3236 |
+
"grad_norm": 0.17435844242572784,
|
3237 |
+
"learning_rate": 8.46424776648258e-06,
|
3238 |
+
"loss": 0.2456,
|
3239 |
+
"step": 2285
|
3240 |
+
},
|
3241 |
+
{
|
3242 |
+
"epoch": 1.8365914786967419,
|
3243 |
+
"grad_norm": 0.16262808442115784,
|
3244 |
+
"learning_rate": 8.06247110555397e-06,
|
3245 |
+
"loss": 0.2582,
|
3246 |
+
"step": 2290
|
3247 |
+
},
|
3248 |
+
{
|
3249 |
+
"epoch": 1.8406015037593986,
|
3250 |
+
"grad_norm": 0.15774986147880554,
|
3251 |
+
"learning_rate": 7.670307146659588e-06,
|
3252 |
+
"loss": 0.2713,
|
3253 |
+
"step": 2295
|
3254 |
+
},
|
3255 |
+
{
|
3256 |
+
"epoch": 1.844611528822055,
|
3257 |
+
"grad_norm": 0.16883234679698944,
|
3258 |
+
"learning_rate": 7.287771471322951e-06,
|
3259 |
+
"loss": 0.2732,
|
3260 |
+
"step": 2300
|
3261 |
+
},
|
3262 |
+
{
|
3263 |
+
"epoch": 1.848621553884712,
|
3264 |
+
"grad_norm": 0.16868174076080322,
|
3265 |
+
"learning_rate": 6.91487927851489e-06,
|
3266 |
+
"loss": 0.2495,
|
3267 |
+
"step": 2305
|
3268 |
+
},
|
3269 |
+
{
|
3270 |
+
"epoch": 1.8526315789473684,
|
3271 |
+
"grad_norm": 0.16309338808059692,
|
3272 |
+
"learning_rate": 6.551645384049898e-06,
|
3273 |
+
"loss": 0.2684,
|
3274 |
+
"step": 2310
|
3275 |
+
},
|
3276 |
+
{
|
3277 |
+
"epoch": 1.856641604010025,
|
3278 |
+
"grad_norm": 0.1636061668395996,
|
3279 |
+
"learning_rate": 6.198084219997374e-06,
|
3280 |
+
"loss": 0.2668,
|
3281 |
+
"step": 2315
|
3282 |
+
},
|
3283 |
+
{
|
3284 |
+
"epoch": 1.8606516290726818,
|
3285 |
+
"grad_norm": 0.17537201941013336,
|
3286 |
+
"learning_rate": 5.854209834108087e-06,
|
3287 |
+
"loss": 0.2743,
|
3288 |
+
"step": 2320
|
3289 |
+
},
|
3290 |
+
{
|
3291 |
+
"epoch": 1.8646616541353382,
|
3292 |
+
"grad_norm": 0.18073910474777222,
|
3293 |
+
"learning_rate": 5.5200358892561755e-06,
|
3294 |
+
"loss": 0.2738,
|
3295 |
+
"step": 2325
|
3296 |
+
},
|
3297 |
+
{
|
3298 |
+
"epoch": 1.8686716791979952,
|
3299 |
+
"grad_norm": 0.16718195378780365,
|
3300 |
+
"learning_rate": 5.195575662896301e-06,
|
3301 |
+
"loss": 0.2668,
|
3302 |
+
"step": 2330
|
3303 |
+
},
|
3304 |
+
{
|
3305 |
+
"epoch": 1.8726817042606516,
|
3306 |
+
"grad_norm": 0.15906399488449097,
|
3307 |
+
"learning_rate": 4.880842046536021e-06,
|
3308 |
+
"loss": 0.2522,
|
3309 |
+
"step": 2335
|
3310 |
+
},
|
3311 |
+
{
|
3312 |
+
"epoch": 1.8766917293233083,
|
3313 |
+
"grad_norm": 0.1543634831905365,
|
3314 |
+
"learning_rate": 4.575847545223499e-06,
|
3315 |
+
"loss": 0.2325,
|
3316 |
+
"step": 2340
|
3317 |
+
},
|
3318 |
+
{
|
3319 |
+
"epoch": 1.880701754385965,
|
3320 |
+
"grad_norm": 0.15531331300735474,
|
3321 |
+
"learning_rate": 4.2806042770509316e-06,
|
3322 |
+
"loss": 0.2503,
|
3323 |
+
"step": 2345
|
3324 |
+
},
|
3325 |
+
{
|
3326 |
+
"epoch": 1.8847117794486214,
|
3327 |
+
"grad_norm": 0.17484238743782043,
|
3328 |
+
"learning_rate": 3.9951239726728485e-06,
|
3329 |
+
"loss": 0.2491,
|
3330 |
+
"step": 2350
|
3331 |
+
},
|
3332 |
+
{
|
3333 |
+
"epoch": 1.8887218045112784,
|
3334 |
+
"grad_norm": 0.15897777676582336,
|
3335 |
+
"learning_rate": 3.719417974839989e-06,
|
3336 |
+
"loss": 0.2708,
|
3337 |
+
"step": 2355
|
3338 |
+
},
|
3339 |
+
{
|
3340 |
+
"epoch": 1.8927318295739348,
|
3341 |
+
"grad_norm": 0.16040709614753723,
|
3342 |
+
"learning_rate": 3.453497237948855e-06,
|
3343 |
+
"loss": 0.2655,
|
3344 |
+
"step": 2360
|
3345 |
+
},
|
3346 |
+
{
|
3347 |
+
"epoch": 1.8967418546365915,
|
3348 |
+
"grad_norm": 0.14991337060928345,
|
3349 |
+
"learning_rate": 3.1973723276062517e-06,
|
3350 |
+
"loss": 0.2275,
|
3351 |
+
"step": 2365
|
3352 |
+
},
|
3353 |
+
{
|
3354 |
+
"epoch": 1.9007518796992482,
|
3355 |
+
"grad_norm": 0.1545797735452652,
|
3356 |
+
"learning_rate": 2.9510534202096263e-06,
|
3357 |
+
"loss": 0.2576,
|
3358 |
+
"step": 2370
|
3359 |
+
},
|
3360 |
+
{
|
3361 |
+
"epoch": 1.9047619047619047,
|
3362 |
+
"grad_norm": 0.16641472280025482,
|
3363 |
+
"learning_rate": 2.71455030254264e-06,
|
3364 |
+
"loss": 0.2607,
|
3365 |
+
"step": 2375
|
3366 |
+
},
|
3367 |
+
{
|
3368 |
+
"epoch": 1.9087719298245616,
|
3369 |
+
"grad_norm": 0.1749178171157837,
|
3370 |
+
"learning_rate": 2.487872371386424e-06,
|
3371 |
+
"loss": 0.2679,
|
3372 |
+
"step": 2380
|
3373 |
+
},
|
3374 |
+
{
|
3375 |
+
"epoch": 1.912781954887218,
|
3376 |
+
"grad_norm": 0.1886933445930481,
|
3377 |
+
"learning_rate": 2.271028633146127e-06,
|
3378 |
+
"loss": 0.2631,
|
3379 |
+
"step": 2385
|
3380 |
+
},
|
3381 |
+
{
|
3382 |
+
"epoch": 1.9167919799498747,
|
3383 |
+
"grad_norm": 0.15673983097076416,
|
3384 |
+
"learning_rate": 2.064027703493149e-06,
|
3385 |
+
"loss": 0.2502,
|
3386 |
+
"step": 2390
|
3387 |
+
},
|
3388 |
+
{
|
3389 |
+
"epoch": 1.9208020050125314,
|
3390 |
+
"grad_norm": 0.16062475740909576,
|
3391 |
+
"learning_rate": 1.866877807022771e-06,
|
3392 |
+
"loss": 0.2295,
|
3393 |
+
"step": 2395
|
3394 |
+
},
|
3395 |
+
{
|
3396 |
+
"epoch": 1.9248120300751879,
|
3397 |
+
"grad_norm": 0.16452881693840027,
|
3398 |
+
"learning_rate": 1.6795867769273665e-06,
|
3399 |
+
"loss": 0.2585,
|
3400 |
+
"step": 2400
|
3401 |
+
},
|
3402 |
+
{
|
3403 |
+
"epoch": 1.9288220551378448,
|
3404 |
+
"grad_norm": 0.17597217857837677,
|
3405 |
+
"learning_rate": 1.50216205468523e-06,
|
3406 |
+
"loss": 0.2586,
|
3407 |
+
"step": 2405
|
3408 |
+
},
|
3409 |
+
{
|
3410 |
+
"epoch": 1.9328320802005012,
|
3411 |
+
"grad_norm": 0.1579117476940155,
|
3412 |
+
"learning_rate": 1.3346106897648424e-06,
|
3413 |
+
"loss": 0.2442,
|
3414 |
+
"step": 2410
|
3415 |
+
},
|
3416 |
+
{
|
3417 |
+
"epoch": 1.936842105263158,
|
3418 |
+
"grad_norm": 0.16751398146152496,
|
3419 |
+
"learning_rate": 1.1769393393448457e-06,
|
3420 |
+
"loss": 0.2649,
|
3421 |
+
"step": 2415
|
3422 |
+
},
|
3423 |
+
{
|
3424 |
+
"epoch": 1.9408521303258146,
|
3425 |
+
"grad_norm": 0.17506803572177887,
|
3426 |
+
"learning_rate": 1.0291542680494758e-06,
|
3427 |
+
"loss": 0.2709,
|
3428 |
+
"step": 2420
|
3429 |
+
},
|
3430 |
+
{
|
3431 |
+
"epoch": 1.944862155388471,
|
3432 |
+
"grad_norm": 0.17089371383190155,
|
3433 |
+
"learning_rate": 8.912613476997067e-07,
|
3434 |
+
"loss": 0.2739,
|
3435 |
+
"step": 2425
|
3436 |
+
},
|
3437 |
+
{
|
3438 |
+
"epoch": 1.948872180451128,
|
3439 |
+
"grad_norm": 0.16731411218643188,
|
3440 |
+
"learning_rate": 7.632660570799366e-07,
|
3441 |
+
"loss": 0.2617,
|
3442 |
+
"step": 2430
|
3443 |
+
},
|
3444 |
+
{
|
3445 |
+
"epoch": 1.9528822055137844,
|
3446 |
+
"grad_norm": 0.15917718410491943,
|
3447 |
+
"learning_rate": 6.451734817202736e-07,
|
3448 |
+
"loss": 0.2783,
|
3449 |
+
"step": 2435
|
3450 |
+
},
|
3451 |
+
{
|
3452 |
+
"epoch": 1.9568922305764411,
|
3453 |
+
"grad_norm": 0.17604759335517883,
|
3454 |
+
"learning_rate": 5.369883136945309e-07,
|
3455 |
+
"loss": 0.2538,
|
3456 |
+
"step": 2440
|
3457 |
+
},
|
3458 |
+
{
|
3459 |
+
"epoch": 1.9609022556390978,
|
3460 |
+
"grad_norm": 0.1530042290687561,
|
3461 |
+
"learning_rate": 4.387148514337358e-07,
|
3462 |
+
"loss": 0.2652,
|
3463 |
+
"step": 2445
|
3464 |
+
},
|
3465 |
+
{
|
3466 |
+
"epoch": 1.9649122807017543,
|
3467 |
+
"grad_norm": 0.15754002332687378,
|
3468 |
+
"learning_rate": 3.503569995554068e-07,
|
3469 |
+
"loss": 0.2615,
|
3470 |
+
"step": 2450
|
3471 |
+
},
|
3472 |
+
{
|
3473 |
+
"epoch": 1.9689223057644112,
|
3474 |
+
"grad_norm": 0.1827680766582489,
|
3475 |
+
"learning_rate": 2.7191826870834325e-07,
|
3476 |
+
"loss": 0.2742,
|
3477 |
+
"step": 2455
|
3478 |
+
},
|
3479 |
+
{
|
3480 |
+
"epoch": 1.9729323308270676,
|
3481 |
+
"grad_norm": 0.15967601537704468,
|
3482 |
+
"learning_rate": 2.034017754332651e-07,
|
3483 |
+
"loss": 0.2466,
|
3484 |
+
"step": 2460
|
3485 |
+
},
|
3486 |
+
{
|
3487 |
+
"epoch": 1.9769423558897243,
|
3488 |
+
"grad_norm": 0.17333175241947174,
|
3489 |
+
"learning_rate": 1.4481024203877313e-07,
|
3490 |
+
"loss": 0.2764,
|
3491 |
+
"step": 2465
|
3492 |
+
},
|
3493 |
+
{
|
3494 |
+
"epoch": 1.980952380952381,
|
3495 |
+
"grad_norm": 0.16165874898433685,
|
3496 |
+
"learning_rate": 9.6145996493463e-08,
|
3497 |
+
"loss": 0.2568,
|
3498 |
+
"step": 2470
|
3499 |
+
},
|
3500 |
+
{
|
3501 |
+
"epoch": 1.9849624060150375,
|
3502 |
+
"grad_norm": 0.16772541403770447,
|
3503 |
+
"learning_rate": 5.7410972333193924e-08,
|
3504 |
+
"loss": 0.2407,
|
3505 |
+
"step": 2475
|
3506 |
+
},
|
3507 |
+
{
|
3508 |
+
"epoch": 1.9889724310776944,
|
3509 |
+
"grad_norm": 0.14310236275196075,
|
3510 |
+
"learning_rate": 2.8606708584344445e-08,
|
3511 |
+
"loss": 0.2468,
|
3512 |
+
"step": 2480
|
3513 |
+
},
|
3514 |
+
{
|
3515 |
+
"epoch": 1.9929824561403509,
|
3516 |
+
"grad_norm": 0.1455429494380951,
|
3517 |
+
"learning_rate": 9.734349702722467e-09,
|
3518 |
+
"loss": 0.2635,
|
3519 |
+
"step": 2485
|
3520 |
+
},
|
3521 |
+
{
|
3522 |
+
"epoch": 1.9969924812030075,
|
3523 |
+
"grad_norm": 0.16766951978206635,
|
3524 |
+
"learning_rate": 7.94645528018334e-10,
|
3525 |
+
"loss": 0.2535,
|
3526 |
+
"step": 2490
|
3527 |
+
},
|
3528 |
+
{
|
3529 |
+
"epoch": 1.9985964912280703,
|
3530 |
+
"eval_loss": 0.22910664975643158,
|
3531 |
+
"eval_runtime": 8.4374,
|
3532 |
+
"eval_samples_per_second": 6.519,
|
3533 |
+
"eval_steps_per_second": 0.83,
|
3534 |
+
"step": 2492
|
3535 |
+
},
|
3536 |
+
{
|
3537 |
+
"epoch": 1.9985964912280703,
|
3538 |
+
"step": 2492,
|
3539 |
+
"total_flos": 8.025299762167153e+17,
|
3540 |
+
"train_loss": 0.37913749282088366,
|
3541 |
+
"train_runtime": 28381.1385,
|
3542 |
+
"train_samples_per_second": 2.812,
|
3543 |
+
"train_steps_per_second": 0.088
|
3544 |
+
},
|
3545 |
+
{
|
3546 |
+
"epoch": 1.9985964912280703,
|
3547 |
+
"eval_loss": 0.22910664975643158,
|
3548 |
+
"eval_runtime": 8.378,
|
3549 |
+
"eval_samples_per_second": 6.565,
|
3550 |
+
"eval_steps_per_second": 0.836,
|
3551 |
+
"step": 2492
|
3552 |
+
}
|
3553 |
+
],
|
3554 |
+
"logging_steps": 5,
|
3555 |
+
"max_steps": 2492,
|
3556 |
+
"num_input_tokens_seen": 0,
|
3557 |
+
"num_train_epochs": 2,
|
3558 |
+
"save_steps": 500,
|
3559 |
+
"stateful_callbacks": {
|
3560 |
+
"TrainerControl": {
|
3561 |
+
"args": {
|
3562 |
+
"should_epoch_stop": false,
|
3563 |
+
"should_evaluate": false,
|
3564 |
+
"should_log": false,
|
3565 |
+
"should_save": false,
|
3566 |
+
"should_training_stop": false
|
3567 |
+
},
|
3568 |
+
"attributes": {}
|
3569 |
+
}
|
3570 |
+
},
|
3571 |
+
"total_flos": 8.025299762167153e+17,
|
3572 |
+
"train_batch_size": 2,
|
3573 |
+
"trial_name": null,
|
3574 |
+
"trial_params": null
|
3575 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a817357f263a1bc6bd2f6b0a6a3b250ba364a4585866c89a1431fb091d8ee37e
|
3 |
+
size 5624
|