Upload 13 files
Browse files- README.md +56 -1
- adapter_config.json +26 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +4 -0
- all_results.json +7 -0
- special_tokens_map.json +28 -0
- tokenizer.model +3 -0
- tokenizer_config.json +64 -0
- train_results.json +7 -0
- trainer_log.jsonl +51 -0
- trainer_state.json +330 -0
- training_args.bin +3 -0
- training_loss.png +0 -0
README.md
CHANGED
@@ -1,3 +1,58 @@
|
|
1 |
---
|
2 |
-
license:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
+
license: other
|
3 |
+
library_name: peft
|
4 |
+
tags:
|
5 |
+
- llama-factory
|
6 |
+
- lora
|
7 |
+
- generated_from_trainer
|
8 |
+
base_model: openchat/openchat-3.5-1210
|
9 |
+
model-index:
|
10 |
+
- name: summarization_model
|
11 |
+
results: []
|
12 |
---
|
13 |
+
|
14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
15 |
+
should probably proofread and complete it, then remove this comment. -->
|
16 |
+
|
17 |
+
# summarization_model
|
18 |
+
|
19 |
+
This model is a fine-tuned version of [openchat/openchat-3.5-1210](https://huggingface.co/openchat/openchat-3.5-1210) on the alpaca_gpt4_en dataset.
|
20 |
+
|
21 |
+
## Model description
|
22 |
+
|
23 |
+
More information needed
|
24 |
+
|
25 |
+
## Intended uses & limitations
|
26 |
+
|
27 |
+
More information needed
|
28 |
+
|
29 |
+
## Training and evaluation data
|
30 |
+
|
31 |
+
More information needed
|
32 |
+
|
33 |
+
## Training procedure
|
34 |
+
|
35 |
+
### Training hyperparameters
|
36 |
+
|
37 |
+
The following hyperparameters were used during training:
|
38 |
+
- learning_rate: 5e-05
|
39 |
+
- train_batch_size: 1
|
40 |
+
- eval_batch_size: 8
|
41 |
+
- seed: 42
|
42 |
+
- gradient_accumulation_steps: 4
|
43 |
+
- total_train_batch_size: 4
|
44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
45 |
+
- lr_scheduler_type: cosine
|
46 |
+
- num_epochs: 3.0
|
47 |
+
|
48 |
+
### Training results
|
49 |
+
|
50 |
+
|
51 |
+
|
52 |
+
### Framework versions
|
53 |
+
|
54 |
+
- PEFT 0.7.1
|
55 |
+
- Transformers 4.36.2
|
56 |
+
- Pytorch 2.1.2+cu121
|
57 |
+
- Datasets 2.16.1
|
58 |
+
- Tokenizers 0.15.0
|
adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "openchat/openchat-3.5-1210",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layers_pattern": null,
|
10 |
+
"layers_to_transform": null,
|
11 |
+
"loftq_config": {},
|
12 |
+
"lora_alpha": 64,
|
13 |
+
"lora_dropout": 0.0,
|
14 |
+
"megatron_config": null,
|
15 |
+
"megatron_core": "megatron.core",
|
16 |
+
"modules_to_save": null,
|
17 |
+
"peft_type": "LORA",
|
18 |
+
"r": 32,
|
19 |
+
"rank_pattern": {},
|
20 |
+
"revision": null,
|
21 |
+
"target_modules": [
|
22 |
+
"v_proj",
|
23 |
+
"q_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
|
adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d857361435229532ec2ee987f31e94784c896a346d86300fd07ad424c06cde21
|
3 |
+
size 54543184
|
added_tokens.json
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<|end_of_turn|>": 32000,
|
3 |
+
"<|pad_0|>": 32001
|
4 |
+
}
|
all_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"train_loss": 0.5736952250355148,
|
4 |
+
"train_runtime": 159194.8564,
|
5 |
+
"train_samples_per_second": 0.638,
|
6 |
+
"train_steps_per_second": 0.159
|
7 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|end_of_turn|>",
|
4 |
+
"<|pad_0|>"
|
5 |
+
],
|
6 |
+
"bos_token": {
|
7 |
+
"content": "<s>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false
|
12 |
+
},
|
13 |
+
"eos_token": {
|
14 |
+
"content": "<|end_of_turn|>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false
|
19 |
+
},
|
20 |
+
"pad_token": "<|end_of_turn|>",
|
21 |
+
"unk_token": {
|
22 |
+
"content": "<unk>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false
|
27 |
+
}
|
28 |
+
}
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
3 |
+
size 493443
|
tokenizer_config.json
ADDED
@@ -0,0 +1,64 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<unk>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"32000": {
|
30 |
+
"content": "<|end_of_turn|>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
+
},
|
37 |
+
"32001": {
|
38 |
+
"content": "<|pad_0|>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": true
|
44 |
+
}
|
45 |
+
},
|
46 |
+
"additional_special_tokens": [
|
47 |
+
"<|end_of_turn|>",
|
48 |
+
"<|pad_0|>"
|
49 |
+
],
|
50 |
+
"bos_token": "<s>",
|
51 |
+
"chat_template": "{{ bos_token }}{% for message in messages %}{{ 'GPT4 Correct ' + message['role'].title() + ': ' + message['content'] + '<|end_of_turn|>'}}{% endfor %}{% if add_generation_prompt %}{{ 'GPT4 Correct Assistant:' }}{% endif %}",
|
52 |
+
"clean_up_tokenization_spaces": false,
|
53 |
+
"eos_token": "<|end_of_turn|>",
|
54 |
+
"legacy": true,
|
55 |
+
"model_max_length": 1000000000000000019884624838656,
|
56 |
+
"pad_token": "<|end_of_turn|>",
|
57 |
+
"padding_side": "right",
|
58 |
+
"sp_model_kwargs": {},
|
59 |
+
"spaces_between_special_tokens": false,
|
60 |
+
"split_special_tokens": false,
|
61 |
+
"tokenizer_class": "LlamaTokenizer",
|
62 |
+
"unk_token": "<unk>",
|
63 |
+
"use_default_system_prompt": true
|
64 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"train_loss": 0.5736952250355148,
|
4 |
+
"train_runtime": 159194.8564,
|
5 |
+
"train_samples_per_second": 0.638,
|
6 |
+
"train_steps_per_second": 0.159
|
7 |
+
}
|
trainer_log.jsonl
ADDED
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{"current_steps": 500, "total_steps": 25380, "loss": 0.7972, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.9952133916247454e-05, "epoch": 0.06, "percentage": 1.97, "elapsed_time": "0:52:11", "remaining_time": "1 day, 19:16:45"}
|
2 |
+
{"current_steps": 1000, "total_steps": 25380, "loss": 0.7291, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.980871895794772e-05, "epoch": 0.12, "percentage": 3.94, "elapsed_time": "1:44:37", "remaining_time": "1 day, 18:30:44"}
|
3 |
+
{"current_steps": 1500, "total_steps": 25380, "loss": 0.7094, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.9570304302093216e-05, "epoch": 0.18, "percentage": 5.91, "elapsed_time": "2:36:46", "remaining_time": "1 day, 17:35:56"}
|
4 |
+
{"current_steps": 2000, "total_steps": 25380, "loss": 0.7107, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.923780290675475e-05, "epoch": 0.24, "percentage": 7.88, "elapsed_time": "3:29:55", "remaining_time": "1 day, 16:54:04"}
|
5 |
+
{"current_steps": 2500, "total_steps": 25380, "loss": 0.6958, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.881248801510328e-05, "epoch": 0.3, "percentage": 9.85, "elapsed_time": "4:22:11", "remaining_time": "1 day, 15:59:38"}
|
6 |
+
{"current_steps": 3000, "total_steps": 25380, "loss": 0.6906, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.829598827979682e-05, "epoch": 0.35, "percentage": 11.82, "elapsed_time": "5:13:20", "remaining_time": "1 day, 14:57:30"}
|
7 |
+
{"current_steps": 3500, "total_steps": 25380, "loss": 0.6803, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.7690281526402436e-05, "epoch": 0.41, "percentage": 13.79, "elapsed_time": "6:06:05", "remaining_time": "1 day, 14:08:36"}
|
8 |
+
{"current_steps": 4000, "total_steps": 25380, "loss": 0.6902, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.699768717973511e-05, "epoch": 0.47, "percentage": 15.76, "elapsed_time": "6:58:41", "remaining_time": "1 day, 13:17:52"}
|
9 |
+
{"current_steps": 4500, "total_steps": 25380, "loss": 0.671, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.622085738211518e-05, "epoch": 0.53, "percentage": 17.73, "elapsed_time": "7:50:06", "remaining_time": "1 day, 12:21:17"}
|
10 |
+
{"current_steps": 5000, "total_steps": 25380, "loss": 0.6747, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.536276683755501e-05, "epoch": 0.59, "percentage": 19.7, "elapsed_time": "8:41:15", "remaining_time": "1 day, 11:24:39"}
|
11 |
+
{"current_steps": 5500, "total_steps": 25380, "loss": 0.6682, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.442670142076442e-05, "epoch": 0.65, "percentage": 21.67, "elapsed_time": "9:33:38", "remaining_time": "1 day, 10:33:26"}
|
12 |
+
{"current_steps": 6000, "total_steps": 25380, "loss": 0.6545, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.341624559459447e-05, "epoch": 0.71, "percentage": 23.64, "elapsed_time": "10:25:37", "remaining_time": "1 day, 9:40:46"}
|
13 |
+
{"current_steps": 6500, "total_steps": 25380, "loss": 0.6574, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.233526868410146e-05, "epoch": 0.77, "percentage": 25.61, "elapsed_time": "11:18:28", "remaining_time": "1 day, 8:50:41"}
|
14 |
+
{"current_steps": 7000, "total_steps": 25380, "loss": 0.6623, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.1187910059791954e-05, "epoch": 0.83, "percentage": 27.58, "elapsed_time": "12:10:48", "remaining_time": "1 day, 7:58:53"}
|
15 |
+
{"current_steps": 7500, "total_steps": 25380, "loss": 0.6684, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 3.99785632867864e-05, "epoch": 0.89, "percentage": 29.55, "elapsed_time": "13:03:48", "remaining_time": "1 day, 7:08:35"}
|
16 |
+
{"current_steps": 8000, "total_steps": 25380, "loss": 0.6489, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 3.871185930059859e-05, "epoch": 0.95, "percentage": 31.52, "elapsed_time": "13:55:37", "remaining_time": "1 day, 6:15:23"}
|
17 |
+
{"current_steps": 8500, "total_steps": 25380, "loss": 0.6594, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 3.739264867395593e-05, "epoch": 1.0, "percentage": 33.49, "elapsed_time": "14:47:45", "remaining_time": "1 day, 5:22:58"}
|
18 |
+
{"current_steps": 9000, "total_steps": 25380, "loss": 0.564, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 3.6025983042565795e-05, "epoch": 1.06, "percentage": 35.46, "elapsed_time": "15:39:23", "remaining_time": "1 day, 4:29:41"}
|
19 |
+
{"current_steps": 9500, "total_steps": 25380, "loss": 0.577, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 3.461709576095409e-05, "epoch": 1.12, "percentage": 37.43, "elapsed_time": "16:32:26", "remaining_time": "1 day, 3:38:56"}
|
20 |
+
{"current_steps": 10000, "total_steps": 25380, "loss": 0.5692, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 3.317138186245037e-05, "epoch": 1.18, "percentage": 39.4, "elapsed_time": "17:24:44", "remaining_time": "1 day, 2:46:49"}
|
21 |
+
{"current_steps": 10500, "total_steps": 25380, "loss": 0.5748, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 3.169437740005849e-05, "epoch": 1.24, "percentage": 41.37, "elapsed_time": "18:17:25", "remaining_time": "1 day, 1:55:11"}
|
22 |
+
{"current_steps": 11000, "total_steps": 25380, "loss": 0.5665, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 3.0191738247322414e-05, "epoch": 1.3, "percentage": 43.34, "elapsed_time": "19:10:03", "remaining_time": "1 day, 1:03:26"}
|
23 |
+
{"current_steps": 11500, "total_steps": 25380, "loss": 0.5752, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 2.8669218440364937e-05, "epoch": 1.36, "percentage": 45.31, "elapsed_time": "20:02:59", "remaining_time": "1 day, 0:11:57"}
|
24 |
+
{"current_steps": 12000, "total_steps": 25380, "loss": 0.5591, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 2.713264814403362e-05, "epoch": 1.42, "percentage": 47.28, "elapsed_time": "20:55:23", "remaining_time": "23:19:45"}
|
25 |
+
{"current_steps": 12500, "total_steps": 25380, "loss": 0.5618, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 2.5587911326528148e-05, "epoch": 1.48, "percentage": 49.25, "elapsed_time": "21:47:47", "remaining_time": "22:27:32"}
|
26 |
+
{"current_steps": 13000, "total_steps": 25380, "loss": 0.5586, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 2.4040923227999103e-05, "epoch": 1.54, "percentage": 51.22, "elapsed_time": "22:39:30", "remaining_time": "21:34:40"}
|
27 |
+
{"current_steps": 13500, "total_steps": 25380, "loss": 0.5674, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 2.2497607709397543e-05, "epoch": 1.6, "percentage": 53.19, "elapsed_time": "23:32:30", "remaining_time": "20:43:00"}
|
28 |
+
{"current_steps": 14000, "total_steps": 25380, "loss": 0.5704, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 2.096387456831309e-05, "epoch": 1.65, "percentage": 55.16, "elapsed_time": "1 day, 0:24:15", "remaining_time": "19:50:14"}
|
29 |
+
{"current_steps": 14500, "total_steps": 25380, "loss": 0.5632, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 1.944559690866454e-05, "epoch": 1.71, "percentage": 57.13, "elapsed_time": "1 day, 1:16:26", "remaining_time": "18:57:51"}
|
30 |
+
{"current_steps": 15000, "total_steps": 25380, "loss": 0.5693, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 1.794858865090123e-05, "epoch": 1.77, "percentage": 59.1, "elapsed_time": "1 day, 2:08:26", "remaining_time": "18:05:22"}
|
31 |
+
{"current_steps": 15500, "total_steps": 25380, "loss": 0.5668, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 1.6478582268834674e-05, "epoch": 1.83, "percentage": 61.07, "elapsed_time": "1 day, 3:00:14", "remaining_time": "17:12:46"}
|
32 |
+
{"current_steps": 16000, "total_steps": 25380, "loss": 0.5657, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 1.5041206838352956e-05, "epoch": 1.89, "percentage": 63.04, "elapsed_time": "1 day, 3:52:30", "remaining_time": "16:20:30"}
|
33 |
+
{"current_steps": 16500, "total_steps": 25380, "loss": 0.5499, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 1.3641966482075208e-05, "epoch": 1.95, "percentage": 65.01, "elapsed_time": "1 day, 4:44:37", "remaining_time": "15:28:09"}
|
34 |
+
{"current_steps": 17000, "total_steps": 25380, "loss": 0.5471, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 1.228621929248813e-05, "epoch": 2.01, "percentage": 66.98, "elapsed_time": "1 day, 5:37:26", "remaining_time": "14:36:10"}
|
35 |
+
{"current_steps": 17500, "total_steps": 25380, "loss": 0.4683, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 1.0979156814273622e-05, "epoch": 2.07, "percentage": 68.95, "elapsed_time": "1 day, 6:29:38", "remaining_time": "13:43:51"}
|
36 |
+
{"current_steps": 18000, "total_steps": 25380, "loss": 0.468, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 9.72578416439587e-06, "epoch": 2.13, "percentage": 70.92, "elapsed_time": "1 day, 7:21:55", "remaining_time": "12:51:35"}
|
37 |
+
{"current_steps": 18500, "total_steps": 25380, "loss": 0.4757, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 8.530900866073433e-06, "epoch": 2.19, "percentage": 72.89, "elapsed_time": "1 day, 8:14:38", "remaining_time": "11:59:28"}
|
38 |
+
{"current_steps": 19000, "total_steps": 25380, "loss": 0.472, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 7.399082470028884e-06, "epoch": 2.25, "percentage": 74.86, "elapsed_time": "1 day, 9:07:22", "remaining_time": "11:07:20"}
|
39 |
+
{"current_steps": 19500, "total_steps": 25380, "loss": 0.4652, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 6.334663033393229e-06, "epoch": 2.3, "percentage": 76.83, "elapsed_time": "1 day, 9:58:58", "remaining_time": "10:14:49"}
|
40 |
+
{"current_steps": 20000, "total_steps": 25380, "loss": 0.4665, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 5.341718523358624e-06, "epoch": 2.36, "percentage": 78.8, "elapsed_time": "1 day, 10:51:07", "remaining_time": "9:22:30"}
|
41 |
+
{"current_steps": 20500, "total_steps": 25380, "loss": 0.4719, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.4240512091313994e-06, "epoch": 2.42, "percentage": 80.77, "elapsed_time": "1 day, 11:43:22", "remaining_time": "8:30:13"}
|
42 |
+
{"current_steps": 21000, "total_steps": 25380, "loss": 0.4658, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 3.5851751019531088e-06, "epoch": 2.48, "percentage": 82.74, "elapsed_time": "1 day, 12:35:10", "remaining_time": "7:37:51"}
|
43 |
+
{"current_steps": 21500, "total_steps": 25380, "loss": 0.471, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 2.828302498944102e-06, "epoch": 2.54, "percentage": 84.71, "elapsed_time": "1 day, 13:27:35", "remaining_time": "6:45:36"}
|
44 |
+
{"current_steps": 22000, "total_steps": 25380, "loss": 0.4701, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 2.1563316822968333e-06, "epoch": 2.6, "percentage": 86.68, "elapsed_time": "1 day, 14:19:23", "remaining_time": "5:53:16"}
|
45 |
+
{"current_steps": 22500, "total_steps": 25380, "loss": 0.4681, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 1.5718358209224153e-06, "epoch": 2.66, "percentage": 88.65, "elapsed_time": "1 day, 15:12:39", "remaining_time": "5:01:08"}
|
46 |
+
{"current_steps": 23000, "total_steps": 25380, "loss": 0.4615, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 1.0770531170491289e-06, "epoch": 2.72, "percentage": 90.62, "elapsed_time": "1 day, 16:04:47", "remaining_time": "4:08:50"}
|
47 |
+
{"current_steps": 23500, "total_steps": 25380, "loss": 0.4687, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 6.738782355044049e-07, "epoch": 2.78, "percentage": 92.59, "elapsed_time": "1 day, 16:56:44", "remaining_time": "3:16:32"}
|
48 |
+
{"current_steps": 24000, "total_steps": 25380, "loss": 0.4629, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 3.638550485000031e-07, "epoch": 2.84, "percentage": 94.56, "elapsed_time": "1 day, 17:48:43", "remaining_time": "2:24:15"}
|
49 |
+
{"current_steps": 24500, "total_steps": 25380, "loss": 0.463, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 1.481707237026758e-07, "epoch": 2.9, "percentage": 96.53, "elapsed_time": "1 day, 18:41:18", "remaining_time": "1:31:59"}
|
50 |
+
{"current_steps": 25000, "total_steps": 25380, "loss": 0.4716, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 2.7651178228807473e-08, "epoch": 2.95, "percentage": 98.5, "elapsed_time": "1 day, 19:33:52", "remaining_time": "0:39:43"}
|
51 |
+
{"current_steps": 25380, "total_steps": 25380, "loss": null, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": null, "epoch": 3.0, "percentage": 100.0, "elapsed_time": "1 day, 20:13:14", "remaining_time": "0:00:00"}
|
trainer_state.json
ADDED
@@ -0,0 +1,330 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.999734066128889,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 25380,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.06,
|
13 |
+
"learning_rate": 4.9952133916247454e-05,
|
14 |
+
"loss": 0.7972,
|
15 |
+
"step": 500
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.12,
|
19 |
+
"learning_rate": 4.980871895794772e-05,
|
20 |
+
"loss": 0.7291,
|
21 |
+
"step": 1000
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.18,
|
25 |
+
"learning_rate": 4.9570304302093216e-05,
|
26 |
+
"loss": 0.7094,
|
27 |
+
"step": 1500
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.24,
|
31 |
+
"learning_rate": 4.923780290675475e-05,
|
32 |
+
"loss": 0.7107,
|
33 |
+
"step": 2000
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.3,
|
37 |
+
"learning_rate": 4.881248801510328e-05,
|
38 |
+
"loss": 0.6958,
|
39 |
+
"step": 2500
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.35,
|
43 |
+
"learning_rate": 4.829598827979682e-05,
|
44 |
+
"loss": 0.6906,
|
45 |
+
"step": 3000
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.41,
|
49 |
+
"learning_rate": 4.7690281526402436e-05,
|
50 |
+
"loss": 0.6803,
|
51 |
+
"step": 3500
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.47,
|
55 |
+
"learning_rate": 4.699768717973511e-05,
|
56 |
+
"loss": 0.6902,
|
57 |
+
"step": 4000
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.53,
|
61 |
+
"learning_rate": 4.622085738211518e-05,
|
62 |
+
"loss": 0.671,
|
63 |
+
"step": 4500
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.59,
|
67 |
+
"learning_rate": 4.536276683755501e-05,
|
68 |
+
"loss": 0.6747,
|
69 |
+
"step": 5000
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.65,
|
73 |
+
"learning_rate": 4.442670142076442e-05,
|
74 |
+
"loss": 0.6682,
|
75 |
+
"step": 5500
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.71,
|
79 |
+
"learning_rate": 4.341624559459447e-05,
|
80 |
+
"loss": 0.6545,
|
81 |
+
"step": 6000
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.77,
|
85 |
+
"learning_rate": 4.233526868410146e-05,
|
86 |
+
"loss": 0.6574,
|
87 |
+
"step": 6500
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.83,
|
91 |
+
"learning_rate": 4.1187910059791954e-05,
|
92 |
+
"loss": 0.6623,
|
93 |
+
"step": 7000
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.89,
|
97 |
+
"learning_rate": 3.99785632867864e-05,
|
98 |
+
"loss": 0.6684,
|
99 |
+
"step": 7500
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.95,
|
103 |
+
"learning_rate": 3.871185930059859e-05,
|
104 |
+
"loss": 0.6489,
|
105 |
+
"step": 8000
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 1.0,
|
109 |
+
"learning_rate": 3.739264867395593e-05,
|
110 |
+
"loss": 0.6594,
|
111 |
+
"step": 8500
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 1.06,
|
115 |
+
"learning_rate": 3.6025983042565795e-05,
|
116 |
+
"loss": 0.564,
|
117 |
+
"step": 9000
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 1.12,
|
121 |
+
"learning_rate": 3.461709576095409e-05,
|
122 |
+
"loss": 0.577,
|
123 |
+
"step": 9500
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 1.18,
|
127 |
+
"learning_rate": 3.317138186245037e-05,
|
128 |
+
"loss": 0.5692,
|
129 |
+
"step": 10000
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 1.24,
|
133 |
+
"learning_rate": 3.169437740005849e-05,
|
134 |
+
"loss": 0.5748,
|
135 |
+
"step": 10500
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 1.3,
|
139 |
+
"learning_rate": 3.0191738247322414e-05,
|
140 |
+
"loss": 0.5665,
|
141 |
+
"step": 11000
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 1.36,
|
145 |
+
"learning_rate": 2.8669218440364937e-05,
|
146 |
+
"loss": 0.5752,
|
147 |
+
"step": 11500
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 1.42,
|
151 |
+
"learning_rate": 2.713264814403362e-05,
|
152 |
+
"loss": 0.5591,
|
153 |
+
"step": 12000
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 1.48,
|
157 |
+
"learning_rate": 2.5587911326528148e-05,
|
158 |
+
"loss": 0.5618,
|
159 |
+
"step": 12500
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 1.54,
|
163 |
+
"learning_rate": 2.4040923227999103e-05,
|
164 |
+
"loss": 0.5586,
|
165 |
+
"step": 13000
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 1.6,
|
169 |
+
"learning_rate": 2.2497607709397543e-05,
|
170 |
+
"loss": 0.5674,
|
171 |
+
"step": 13500
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 1.65,
|
175 |
+
"learning_rate": 2.096387456831309e-05,
|
176 |
+
"loss": 0.5704,
|
177 |
+
"step": 14000
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 1.71,
|
181 |
+
"learning_rate": 1.944559690866454e-05,
|
182 |
+
"loss": 0.5632,
|
183 |
+
"step": 14500
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 1.77,
|
187 |
+
"learning_rate": 1.794858865090123e-05,
|
188 |
+
"loss": 0.5693,
|
189 |
+
"step": 15000
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 1.83,
|
193 |
+
"learning_rate": 1.6478582268834674e-05,
|
194 |
+
"loss": 0.5668,
|
195 |
+
"step": 15500
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 1.89,
|
199 |
+
"learning_rate": 1.5041206838352956e-05,
|
200 |
+
"loss": 0.5657,
|
201 |
+
"step": 16000
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 1.95,
|
205 |
+
"learning_rate": 1.3641966482075208e-05,
|
206 |
+
"loss": 0.5499,
|
207 |
+
"step": 16500
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 2.01,
|
211 |
+
"learning_rate": 1.228621929248813e-05,
|
212 |
+
"loss": 0.5471,
|
213 |
+
"step": 17000
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 2.07,
|
217 |
+
"learning_rate": 1.0979156814273622e-05,
|
218 |
+
"loss": 0.4683,
|
219 |
+
"step": 17500
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 2.13,
|
223 |
+
"learning_rate": 9.72578416439587e-06,
|
224 |
+
"loss": 0.468,
|
225 |
+
"step": 18000
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 2.19,
|
229 |
+
"learning_rate": 8.530900866073433e-06,
|
230 |
+
"loss": 0.4757,
|
231 |
+
"step": 18500
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 2.25,
|
235 |
+
"learning_rate": 7.399082470028884e-06,
|
236 |
+
"loss": 0.472,
|
237 |
+
"step": 19000
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 2.3,
|
241 |
+
"learning_rate": 6.334663033393229e-06,
|
242 |
+
"loss": 0.4652,
|
243 |
+
"step": 19500
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 2.36,
|
247 |
+
"learning_rate": 5.341718523358624e-06,
|
248 |
+
"loss": 0.4665,
|
249 |
+
"step": 20000
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 2.42,
|
253 |
+
"learning_rate": 4.4240512091313994e-06,
|
254 |
+
"loss": 0.4719,
|
255 |
+
"step": 20500
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 2.48,
|
259 |
+
"learning_rate": 3.5851751019531088e-06,
|
260 |
+
"loss": 0.4658,
|
261 |
+
"step": 21000
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 2.54,
|
265 |
+
"learning_rate": 2.828302498944102e-06,
|
266 |
+
"loss": 0.471,
|
267 |
+
"step": 21500
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 2.6,
|
271 |
+
"learning_rate": 2.1563316822968333e-06,
|
272 |
+
"loss": 0.4701,
|
273 |
+
"step": 22000
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 2.66,
|
277 |
+
"learning_rate": 1.5718358209224153e-06,
|
278 |
+
"loss": 0.4681,
|
279 |
+
"step": 22500
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 2.72,
|
283 |
+
"learning_rate": 1.0770531170491289e-06,
|
284 |
+
"loss": 0.4615,
|
285 |
+
"step": 23000
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 2.78,
|
289 |
+
"learning_rate": 6.738782355044049e-07,
|
290 |
+
"loss": 0.4687,
|
291 |
+
"step": 23500
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 2.84,
|
295 |
+
"learning_rate": 3.638550485000031e-07,
|
296 |
+
"loss": 0.4629,
|
297 |
+
"step": 24000
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 2.9,
|
301 |
+
"learning_rate": 1.481707237026758e-07,
|
302 |
+
"loss": 0.463,
|
303 |
+
"step": 24500
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 2.95,
|
307 |
+
"learning_rate": 2.7651178228807473e-08,
|
308 |
+
"loss": 0.4716,
|
309 |
+
"step": 25000
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 3.0,
|
313 |
+
"step": 25380,
|
314 |
+
"total_flos": 1.6998673876237025e+18,
|
315 |
+
"train_loss": 0.5736952250355148,
|
316 |
+
"train_runtime": 159194.8564,
|
317 |
+
"train_samples_per_second": 0.638,
|
318 |
+
"train_steps_per_second": 0.159
|
319 |
+
}
|
320 |
+
],
|
321 |
+
"logging_steps": 500,
|
322 |
+
"max_steps": 25380,
|
323 |
+
"num_input_tokens_seen": 0,
|
324 |
+
"num_train_epochs": 3,
|
325 |
+
"save_steps": 500,
|
326 |
+
"total_flos": 1.6998673876237025e+18,
|
327 |
+
"train_batch_size": 1,
|
328 |
+
"trial_name": null,
|
329 |
+
"trial_params": null
|
330 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f0888a1d09a7d2129b9246a5ad9fbf5eed36584ffcd0ce38c5ad5f815d4e65ed
|
3 |
+
size 4856
|
training_loss.png
ADDED