Holmeister commited on
Commit
f2d571c
1 Parent(s): 113cbf7

End of training

Browse files
Files changed (5) hide show
  1. README.md +3 -2
  2. all_results.json +12 -0
  3. eval_results.json +7 -0
  4. train_results.json +8 -0
  5. trainer_state.json +171 -0
README.md CHANGED
@@ -2,6 +2,7 @@
2
  library_name: peft
3
  tags:
4
  - llama-factory
 
5
  - generated_from_trainer
6
  base_model: mistralai/Mistral-7B-v0.3
7
  model-index:
@@ -14,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
14
 
15
  # Mistral_ei_oc_unstructured_train
16
 
17
- This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 0.0849
20
 
21
  ## Model description
22
 
 
2
  library_name: peft
3
  tags:
4
  - llama-factory
5
+ - lora
6
  - generated_from_trainer
7
  base_model: mistralai/Mistral-7B-v0.3
8
  model-index:
 
15
 
16
  # Mistral_ei_oc_unstructured_train
17
 
18
+ This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the emollms_ei_oc_unstructured dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.0787
21
 
22
  ## Model description
23
 
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.8828828828828827,
3
+ "eval_loss": 0.07866430282592773,
4
+ "eval_runtime": 92.8383,
5
+ "eval_samples_per_second": 15.769,
6
+ "eval_steps_per_second": 1.971,
7
+ "total_flos": 1.2688077065394586e+17,
8
+ "train_loss": 0.117483252286911,
9
+ "train_runtime": 3922.4935,
10
+ "train_samples_per_second": 5.432,
11
+ "train_steps_per_second": 0.021
12
+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.8828828828828827,
3
+ "eval_loss": 0.07866430282592773,
4
+ "eval_runtime": 92.8383,
5
+ "eval_samples_per_second": 15.769,
6
+ "eval_steps_per_second": 1.971
7
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.8828828828828827,
3
+ "total_flos": 1.2688077065394586e+17,
4
+ "train_loss": 0.117483252286911,
5
+ "train_runtime": 3922.4935,
6
+ "train_samples_per_second": 5.432,
7
+ "train_steps_per_second": 0.021
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,171 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.07866430282592773,
3
+ "best_model_checkpoint": "saves/Mistral-7B/lora/train_1/checkpoint-50",
4
+ "epoch": 2.8828828828828827,
5
+ "eval_steps": 10,
6
+ "global_step": 80,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.36036036036036034,
13
+ "grad_norm": 0.26596060395240784,
14
+ "learning_rate": 0.00028885859539033357,
15
+ "loss": 0.4784,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.36036036036036034,
20
+ "eval_loss": 0.10740000009536743,
21
+ "eval_runtime": 92.81,
22
+ "eval_samples_per_second": 15.774,
23
+ "eval_steps_per_second": 1.972,
24
+ "step": 10
25
+ },
26
+ {
27
+ "epoch": 0.7207207207207207,
28
+ "grad_norm": 0.3412328362464905,
29
+ "learning_rate": 0.00025708946018368484,
30
+ "loss": 0.0943,
31
+ "step": 20
32
+ },
33
+ {
34
+ "epoch": 0.7207207207207207,
35
+ "eval_loss": 0.08951539546251297,
36
+ "eval_runtime": 92.8999,
37
+ "eval_samples_per_second": 15.759,
38
+ "eval_steps_per_second": 1.97,
39
+ "step": 20
40
+ },
41
+ {
42
+ "epoch": 1.0810810810810811,
43
+ "grad_norm": 0.26343515515327454,
44
+ "learning_rate": 0.0002094119649058735,
45
+ "loss": 0.0763,
46
+ "step": 30
47
+ },
48
+ {
49
+ "epoch": 1.0810810810810811,
50
+ "eval_loss": 0.08366864919662476,
51
+ "eval_runtime": 92.931,
52
+ "eval_samples_per_second": 15.754,
53
+ "eval_steps_per_second": 1.969,
54
+ "step": 30
55
+ },
56
+ {
57
+ "epoch": 1.4414414414414414,
58
+ "grad_norm": 0.20433703064918518,
59
+ "learning_rate": 0.00015290869976577364,
60
+ "loss": 0.0674,
61
+ "step": 40
62
+ },
63
+ {
64
+ "epoch": 1.4414414414414414,
65
+ "eval_loss": 0.08040930330753326,
66
+ "eval_runtime": 92.8073,
67
+ "eval_samples_per_second": 15.775,
68
+ "eval_steps_per_second": 1.972,
69
+ "step": 40
70
+ },
71
+ {
72
+ "epoch": 1.8018018018018018,
73
+ "grad_norm": 0.23807112872600555,
74
+ "learning_rate": 9.597334127929346e-05,
75
+ "loss": 0.0622,
76
+ "step": 50
77
+ },
78
+ {
79
+ "epoch": 1.8018018018018018,
80
+ "eval_loss": 0.07866430282592773,
81
+ "eval_runtime": 92.8443,
82
+ "eval_samples_per_second": 15.768,
83
+ "eval_steps_per_second": 1.971,
84
+ "step": 50
85
+ },
86
+ {
87
+ "epoch": 2.1621621621621623,
88
+ "grad_norm": 0.21819865703582764,
89
+ "learning_rate": 4.706375431968997e-05,
90
+ "loss": 0.0596,
91
+ "step": 60
92
+ },
93
+ {
94
+ "epoch": 2.1621621621621623,
95
+ "eval_loss": 0.08040966093540192,
96
+ "eval_runtime": 92.8758,
97
+ "eval_samples_per_second": 15.763,
98
+ "eval_steps_per_second": 1.97,
99
+ "step": 60
100
+ },
101
+ {
102
+ "epoch": 2.5225225225225225,
103
+ "grad_norm": 0.23914609849452972,
104
+ "learning_rate": 1.3445558855078014e-05,
105
+ "loss": 0.0493,
106
+ "step": 70
107
+ },
108
+ {
109
+ "epoch": 2.5225225225225225,
110
+ "eval_loss": 0.08447360247373581,
111
+ "eval_runtime": 92.8784,
112
+ "eval_samples_per_second": 15.763,
113
+ "eval_steps_per_second": 1.97,
114
+ "step": 70
115
+ },
116
+ {
117
+ "epoch": 2.8828828828828827,
118
+ "grad_norm": 0.24320539832115173,
119
+ "learning_rate": 1.1280712436549378e-07,
120
+ "loss": 0.0523,
121
+ "step": 80
122
+ },
123
+ {
124
+ "epoch": 2.8828828828828827,
125
+ "eval_loss": 0.08488883823156357,
126
+ "eval_runtime": 92.8598,
127
+ "eval_samples_per_second": 15.766,
128
+ "eval_steps_per_second": 1.971,
129
+ "step": 80
130
+ },
131
+ {
132
+ "epoch": 2.8828828828828827,
133
+ "step": 80,
134
+ "total_flos": 1.2688077065394586e+17,
135
+ "train_loss": 0.117483252286911,
136
+ "train_runtime": 3922.4935,
137
+ "train_samples_per_second": 5.432,
138
+ "train_steps_per_second": 0.021
139
+ }
140
+ ],
141
+ "logging_steps": 10,
142
+ "max_steps": 81,
143
+ "num_input_tokens_seen": 0,
144
+ "num_train_epochs": 3,
145
+ "save_steps": 10,
146
+ "stateful_callbacks": {
147
+ "EarlyStoppingCallback": {
148
+ "args": {
149
+ "early_stopping_patience": 3,
150
+ "early_stopping_threshold": 0.0
151
+ },
152
+ "attributes": {
153
+ "early_stopping_patience_counter": 0
154
+ }
155
+ },
156
+ "TrainerControl": {
157
+ "args": {
158
+ "should_epoch_stop": false,
159
+ "should_evaluate": false,
160
+ "should_log": false,
161
+ "should_save": true,
162
+ "should_training_stop": true
163
+ },
164
+ "attributes": {}
165
+ }
166
+ },
167
+ "total_flos": 1.2688077065394586e+17,
168
+ "train_batch_size": 32,
169
+ "trial_name": null,
170
+ "trial_params": null
171
+ }