chchen commited on
Commit
f09da46
·
verified ·
1 Parent(s): 9aa18d2

End of training

Browse files
README.md CHANGED
@@ -3,6 +3,7 @@ license: apache-2.0
3
  library_name: peft
4
  tags:
5
  - llama-factory
 
6
  - generated_from_trainer
7
  base_model: mistralai/Mistral-7B-Instruct-v0.2
8
  model-index:
@@ -15,7 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # Mistral-7B-Instruct-v0.2-ORPO-SFT
17
 
18
- This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
 
 
19
 
20
  ## Model description
21
 
 
3
  library_name: peft
4
  tags:
5
  - llama-factory
6
+ - lora
7
  - generated_from_trainer
8
  base_model: mistralai/Mistral-7B-Instruct-v0.2
9
  model-index:
 
16
 
17
  # Mistral-7B-Instruct-v0.2-ORPO-SFT
18
 
19
+ This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the bct_non_cot_sft_1000 dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 0.0648
22
 
23
  ## Model description
24
 
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.986666666666667,
3
+ "eval_loss": 0.06476102769374847,
4
+ "eval_runtime": 3.2886,
5
+ "eval_samples_per_second": 30.408,
6
+ "eval_steps_per_second": 15.204,
7
+ "total_flos": 1.6019812625547264e+16,
8
+ "train_loss": 0.12199947628236953,
9
+ "train_runtime": 363.0569,
10
+ "train_samples_per_second": 7.437,
11
+ "train_steps_per_second": 0.463
12
+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.986666666666667,
3
+ "eval_loss": 0.06476102769374847,
4
+ "eval_runtime": 3.2886,
5
+ "eval_samples_per_second": 30.408,
6
+ "eval_steps_per_second": 15.204
7
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.986666666666667,
3
+ "total_flos": 1.6019812625547264e+16,
4
+ "train_loss": 0.12199947628236953,
5
+ "train_runtime": 363.0569,
6
+ "train_samples_per_second": 7.437,
7
+ "train_steps_per_second": 0.463
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,142 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.986666666666667,
5
+ "eval_steps": 500,
6
+ "global_step": 168,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.17777777777777778,
13
+ "grad_norm": 4.85897159576416,
14
+ "learning_rate": 4.957230266673969e-06,
15
+ "loss": 0.556,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.35555555555555557,
20
+ "grad_norm": 4.12825870513916,
21
+ "learning_rate": 4.828686741593921e-06,
22
+ "loss": 0.2945,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.5333333333333333,
27
+ "grad_norm": 2.6030149459838867,
28
+ "learning_rate": 4.618852307232078e-06,
29
+ "loss": 0.1525,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.7111111111111111,
34
+ "grad_norm": 3.3148317337036133,
35
+ "learning_rate": 4.335051964269395e-06,
36
+ "loss": 0.0805,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.8888888888888888,
41
+ "grad_norm": 2.82584547996521,
42
+ "learning_rate": 3.987192750660719e-06,
43
+ "loss": 0.0858,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 1.0666666666666667,
48
+ "grad_norm": 2.225501775741577,
49
+ "learning_rate": 3.587417902020876e-06,
50
+ "loss": 0.109,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 1.2444444444444445,
55
+ "grad_norm": 3.221173048019409,
56
+ "learning_rate": 3.1496829497545268e-06,
57
+ "loss": 0.077,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 1.4222222222222223,
62
+ "grad_norm": 3.5979526042938232,
63
+ "learning_rate": 2.6892685546987724e-06,
64
+ "loss": 0.0734,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 1.6,
69
+ "grad_norm": 2.8982393741607666,
70
+ "learning_rate": 2.2222470825144806e-06,
71
+ "loss": 0.0877,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 1.7777777777777777,
76
+ "grad_norm": 3.0191638469696045,
77
+ "learning_rate": 1.7649215418673847e-06,
78
+ "loss": 0.0499,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 1.9555555555555557,
83
+ "grad_norm": 2.951284646987915,
84
+ "learning_rate": 1.3332564712129845e-06,
85
+ "loss": 0.0887,
86
+ "step": 110
87
+ },
88
+ {
89
+ "epoch": 2.1333333333333333,
90
+ "grad_norm": 2.143000602722168,
91
+ "learning_rate": 9.423206410612498e-07,
92
+ "loss": 0.0646,
93
+ "step": 120
94
+ },
95
+ {
96
+ "epoch": 2.311111111111111,
97
+ "grad_norm": 1.9689100980758667,
98
+ "learning_rate": 6.057610261367044e-07,
99
+ "loss": 0.0734,
100
+ "step": 130
101
+ },
102
+ {
103
+ "epoch": 2.488888888888889,
104
+ "grad_norm": 4.3230180740356445,
105
+ "learning_rate": 3.3532641026504415e-07,
106
+ "loss": 0.0898,
107
+ "step": 140
108
+ },
109
+ {
110
+ "epoch": 2.6666666666666665,
111
+ "grad_norm": 1.9908875226974487,
112
+ "learning_rate": 1.4045725421448332e-07,
113
+ "loss": 0.0622,
114
+ "step": 150
115
+ },
116
+ {
117
+ "epoch": 2.8444444444444446,
118
+ "grad_norm": 3.6597988605499268,
119
+ "learning_rate": 2.7956143581177874e-08,
120
+ "loss": 0.0601,
121
+ "step": 160
122
+ },
123
+ {
124
+ "epoch": 2.986666666666667,
125
+ "step": 168,
126
+ "total_flos": 1.6019812625547264e+16,
127
+ "train_loss": 0.12199947628236953,
128
+ "train_runtime": 363.0569,
129
+ "train_samples_per_second": 7.437,
130
+ "train_steps_per_second": 0.463
131
+ }
132
+ ],
133
+ "logging_steps": 10,
134
+ "max_steps": 168,
135
+ "num_input_tokens_seen": 0,
136
+ "num_train_epochs": 3,
137
+ "save_steps": 500,
138
+ "total_flos": 1.6019812625547264e+16,
139
+ "train_batch_size": 2,
140
+ "trial_name": null,
141
+ "trial_params": null
142
+ }
training_loss.png ADDED