justinwangx commited on
Commit
29374bb
·
1 Parent(s): 5e7f9b8

Model save

Browse files
README.md ADDED
@@ -0,0 +1,64 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - generated_from_trainer
4
+ model-index:
5
+ - name: vicuna-adv-robust-u5-sft-lora
6
+ results: []
7
+ ---
8
+
9
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
10
+ should probably proofread and complete it, then remove this comment. -->
11
+
12
+ # vicuna-adv-robust-u5-sft-lora
13
+
14
+ This model was trained from scratch on an unknown dataset.
15
+ It achieves the following results on the evaluation set:
16
+ - Loss: 1.2913
17
+
18
+ ## Model description
19
+
20
+ More information needed
21
+
22
+ ## Intended uses & limitations
23
+
24
+ More information needed
25
+
26
+ ## Training and evaluation data
27
+
28
+ More information needed
29
+
30
+ ## Training procedure
31
+
32
+ ### Training hyperparameters
33
+
34
+ The following hyperparameters were used during training:
35
+ - learning_rate: 3e-05
36
+ - train_batch_size: 4
37
+ - eval_batch_size: 8
38
+ - seed: 42
39
+ - distributed_type: multi-GPU
40
+ - num_devices: 4
41
+ - gradient_accumulation_steps: 128
42
+ - total_train_batch_size: 2048
43
+ - total_eval_batch_size: 32
44
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
+ - lr_scheduler_type: cosine
46
+ - num_epochs: 5
47
+
48
+ ### Training results
49
+
50
+ | Training Loss | Epoch | Step | Validation Loss |
51
+ |:-------------:|:-----:|:----:|:---------------:|
52
+ | 1.4063 | 0.63 | 7 | 1.3767 |
53
+ | 1.3987 | 1.61 | 14 | 1.3552 |
54
+ | 1.3645 | 2.59 | 21 | 1.3310 |
55
+ | 1.35 | 3.57 | 28 | 1.3090 |
56
+ | 1.3197 | 4.64 | 36 | 1.2913 |
57
+
58
+
59
+ ### Framework versions
60
+
61
+ - Transformers 4.35.0
62
+ - Pytorch 2.1.0a0+32f93b1
63
+ - Datasets 2.14.6
64
+ - Tokenizers 0.14.1
adapter_config.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "/data/models/vicuna-7b-v1.3",
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
+ "lora_alpha": 16,
12
+ "lora_dropout": 0.1,
13
+ "modules_to_save": null,
14
+ "peft_type": "LORA",
15
+ "r": 64,
16
+ "rank_pattern": {},
17
+ "revision": null,
18
+ "target_modules": [
19
+ "v_proj",
20
+ "o_proj",
21
+ "q_proj",
22
+ "k_proj"
23
+ ],
24
+ "task_type": "CAUSAL_LM"
25
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fafc799dc70cf6f908e2f27c283f42c792981a11bb34365e853aaa1a02e266e6
3
+ size 134252592
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.64,
3
+ "eval_loss": 1.291313886642456,
4
+ "eval_runtime": 1335.0386,
5
+ "eval_samples": 23344,
6
+ "eval_samples_per_second": 17.486,
7
+ "eval_steps_per_second": 0.547,
8
+ "train_loss": 1.366490102476544,
9
+ "train_runtime": 26909.2833,
10
+ "train_samples": 22883,
11
+ "train_samples_per_second": 4.252,
12
+ "train_steps_per_second": 0.002
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.64,
3
+ "eval_loss": 1.291313886642456,
4
+ "eval_runtime": 1335.0386,
5
+ "eval_samples": 23344,
6
+ "eval_samples_per_second": 17.486,
7
+ "eval_steps_per_second": 0.547
8
+ }
runs/Dec31_18-42-46_f63ae9056bcd/events.out.tfevents.1704048198.f63ae9056bcd.761409.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:874347d561f2958ffd1b4c844e3952e12b274a9cc06182987951e388552cffd2
3
+ size 7232
runs/Dec31_18-42-46_f63ae9056bcd/events.out.tfevents.1704076442.f63ae9056bcd.761409.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3abf473c2431a5f39e29dfbe8caad0bc96d69c12af2a3230f54db0fc1c33ef45
3
+ size 306
special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": true,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": true,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<unk>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": true,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
tokenizer_config.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": true,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<s>",
15
+ "lstrip": false,
16
+ "normalized": true,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "</s>",
23
+ "lstrip": false,
24
+ "normalized": true,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ }
29
+ },
30
+ "bos_token": "<s>",
31
+ "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ 'USER: ' + message['content'] + ' '}}{% elif message['role'] == 'system' %}{{ message['content'] + ' '}}{% elif message['role'] == 'assistant' %}\n{{ 'ASSISTANT: ' + message['content'] + ' '}}{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ 'ASSISTANT:' }}\n{% endif %}\n{% endfor %}",
32
+ "clean_up_tokenization_spaces": false,
33
+ "eos_token": "</s>",
34
+ "legacy": true,
35
+ "model_max_length": 2048,
36
+ "pad_token": "<unk>",
37
+ "padding_side": "right",
38
+ "sp_model_kwargs": {},
39
+ "spaces_between_special_tokens": false,
40
+ "tokenizer_class": "LlamaTokenizer",
41
+ "unk_token": "<unk>",
42
+ "use_default_system_prompt": false
43
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.64,
3
+ "train_loss": 1.366490102476544,
4
+ "train_runtime": 26909.2833,
5
+ "train_samples": 22883,
6
+ "train_samples_per_second": 4.252,
7
+ "train_steps_per_second": 0.002
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,116 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 4.64011180992313,
5
+ "eval_steps": 500,
6
+ "global_step": 36,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.09,
13
+ "learning_rate": 2.9975536558892034e-05,
14
+ "loss": 1.4153,
15
+ "step": 1
16
+ },
17
+ {
18
+ "epoch": 0.45,
19
+ "learning_rate": 2.939239460421746e-05,
20
+ "loss": 1.4063,
21
+ "step": 5
22
+ },
23
+ {
24
+ "epoch": 0.63,
25
+ "eval_loss": 1.3766872882843018,
26
+ "eval_runtime": 1336.0539,
27
+ "eval_samples_per_second": 17.472,
28
+ "eval_steps_per_second": 0.546,
29
+ "step": 7
30
+ },
31
+ {
32
+ "epoch": 1.25,
33
+ "learning_rate": 2.7618802992467718e-05,
34
+ "loss": 1.3987,
35
+ "step": 10
36
+ },
37
+ {
38
+ "epoch": 1.61,
39
+ "eval_loss": 1.3552420139312744,
40
+ "eval_runtime": 1337.2341,
41
+ "eval_samples_per_second": 17.457,
42
+ "eval_steps_per_second": 0.546,
43
+ "step": 14
44
+ },
45
+ {
46
+ "epoch": 2.05,
47
+ "learning_rate": 2.482291100917928e-05,
48
+ "loss": 1.3839,
49
+ "step": 15
50
+ },
51
+ {
52
+ "epoch": 2.5,
53
+ "learning_rate": 2.12312251950283e-05,
54
+ "loss": 1.3645,
55
+ "step": 20
56
+ },
57
+ {
58
+ "epoch": 2.59,
59
+ "eval_loss": 1.3309670686721802,
60
+ "eval_runtime": 1334.4732,
61
+ "eval_samples_per_second": 17.493,
62
+ "eval_steps_per_second": 0.547,
63
+ "step": 21
64
+ },
65
+ {
66
+ "epoch": 3.3,
67
+ "learning_rate": 1.713472257409928e-05,
68
+ "loss": 1.35,
69
+ "step": 25
70
+ },
71
+ {
72
+ "epoch": 3.57,
73
+ "eval_loss": 1.3089555501937866,
74
+ "eval_runtime": 1335.8968,
75
+ "eval_samples_per_second": 17.474,
76
+ "eval_steps_per_second": 0.546,
77
+ "step": 28
78
+ },
79
+ {
80
+ "epoch": 4.1,
81
+ "learning_rate": 1.2865277425900725e-05,
82
+ "loss": 1.3338,
83
+ "step": 30
84
+ },
85
+ {
86
+ "epoch": 4.55,
87
+ "learning_rate": 8.768774804971705e-06,
88
+ "loss": 1.3197,
89
+ "step": 35
90
+ },
91
+ {
92
+ "epoch": 4.64,
93
+ "eval_loss": 1.291340708732605,
94
+ "eval_runtime": 1335.9273,
95
+ "eval_samples_per_second": 17.474,
96
+ "eval_steps_per_second": 0.546,
97
+ "step": 36
98
+ },
99
+ {
100
+ "epoch": 4.64,
101
+ "step": 36,
102
+ "total_flos": 4.623623575620813e+16,
103
+ "train_loss": 1.366490102476544,
104
+ "train_runtime": 26909.2833,
105
+ "train_samples_per_second": 4.252,
106
+ "train_steps_per_second": 0.002
107
+ }
108
+ ],
109
+ "logging_steps": 5,
110
+ "max_steps": 55,
111
+ "num_train_epochs": 5,
112
+ "save_steps": 500,
113
+ "total_flos": 4.623623575620813e+16,
114
+ "trial_name": null,
115
+ "trial_params": null
116
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:93d9d22b3fc76e5b26ca0c048f4d83849186eb7a94aceb92582e47e9a5c394db
3
+ size 5688