sedrickkeh commited on
Commit
eae86c0
·
verified ·
1 Parent(s): f70d9a1

End of training

Browse files
README.md CHANGED
@@ -4,6 +4,7 @@ license: llama3.1
4
  base_model: meta-llama/Meta-Llama-3.1-8B
5
  tags:
6
  - llama-factory
 
7
  - generated_from_trainer
8
  model-index:
9
  - name: stackexchange_money
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # stackexchange_money
17
 
18
- This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
  - Loss: 0.8842
21
 
 
4
  base_model: meta-llama/Meta-Llama-3.1-8B
5
  tags:
6
  - llama-factory
7
+ - full
8
  - generated_from_trainer
9
  model-index:
10
  - name: stackexchange_money
 
16
 
17
  # stackexchange_money
18
 
19
+ This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the mlfoundations-dev/stackexchange_money dataset.
20
  It achieves the following results on the evaluation set:
21
  - Loss: 0.8842
22
 
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.920502092050209,
3
+ "eval_loss": 0.8841589689254761,
4
+ "eval_runtime": 20.5556,
5
+ "eval_samples_per_second": 39.016,
6
+ "eval_steps_per_second": 0.632,
7
+ "total_flos": 145518860697600.0,
8
+ "train_loss": 0.931431375700852,
9
+ "train_runtime": 3202.1178,
10
+ "train_samples_per_second": 14.276,
11
+ "train_steps_per_second": 0.027
12
+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.920502092050209,
3
+ "eval_loss": 0.8841589689254761,
4
+ "eval_runtime": 20.5556,
5
+ "eval_samples_per_second": 39.016,
6
+ "eval_steps_per_second": 0.632
7
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.920502092050209,
3
+ "total_flos": 145518860697600.0,
4
+ "train_loss": 0.931431375700852,
5
+ "train_runtime": 3202.1178,
6
+ "train_samples_per_second": 14.276,
7
+ "train_steps_per_second": 0.027
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,122 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.920502092050209,
5
+ "eval_steps": 500,
6
+ "global_step": 87,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.33472803347280333,
13
+ "grad_norm": 5.262314174920856,
14
+ "learning_rate": 5e-06,
15
+ "loss": 1.1175,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.6694560669456067,
20
+ "grad_norm": 5.981365790026769,
21
+ "learning_rate": 5e-06,
22
+ "loss": 1.0229,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.9707112970711297,
27
+ "eval_loss": 0.9536872506141663,
28
+ "eval_runtime": 21.0481,
29
+ "eval_samples_per_second": 38.103,
30
+ "eval_steps_per_second": 0.618,
31
+ "step": 29
32
+ },
33
+ {
34
+ "epoch": 1.00836820083682,
35
+ "grad_norm": 1.4208273735733241,
36
+ "learning_rate": 5e-06,
37
+ "loss": 0.9952,
38
+ "step": 30
39
+ },
40
+ {
41
+ "epoch": 1.3430962343096233,
42
+ "grad_norm": 4.9064888353875835,
43
+ "learning_rate": 5e-06,
44
+ "loss": 0.9209,
45
+ "step": 40
46
+ },
47
+ {
48
+ "epoch": 1.6778242677824267,
49
+ "grad_norm": 1.1284317077683494,
50
+ "learning_rate": 5e-06,
51
+ "loss": 0.8991,
52
+ "step": 50
53
+ },
54
+ {
55
+ "epoch": 1.9790794979079498,
56
+ "eval_loss": 0.9046074151992798,
57
+ "eval_runtime": 20.9928,
58
+ "eval_samples_per_second": 38.204,
59
+ "eval_steps_per_second": 0.619,
60
+ "step": 59
61
+ },
62
+ {
63
+ "epoch": 2.01673640167364,
64
+ "grad_norm": 1.4649955809934467,
65
+ "learning_rate": 5e-06,
66
+ "loss": 0.9071,
67
+ "step": 60
68
+ },
69
+ {
70
+ "epoch": 2.3514644351464433,
71
+ "grad_norm": 0.9844173290886701,
72
+ "learning_rate": 5e-06,
73
+ "loss": 0.8369,
74
+ "step": 70
75
+ },
76
+ {
77
+ "epoch": 2.6861924686192467,
78
+ "grad_norm": 0.8203667838780383,
79
+ "learning_rate": 5e-06,
80
+ "loss": 0.8286,
81
+ "step": 80
82
+ },
83
+ {
84
+ "epoch": 2.920502092050209,
85
+ "eval_loss": 0.8841589689254761,
86
+ "eval_runtime": 19.9067,
87
+ "eval_samples_per_second": 40.288,
88
+ "eval_steps_per_second": 0.653,
89
+ "step": 87
90
+ },
91
+ {
92
+ "epoch": 2.920502092050209,
93
+ "step": 87,
94
+ "total_flos": 145518860697600.0,
95
+ "train_loss": 0.931431375700852,
96
+ "train_runtime": 3202.1178,
97
+ "train_samples_per_second": 14.276,
98
+ "train_steps_per_second": 0.027
99
+ }
100
+ ],
101
+ "logging_steps": 10,
102
+ "max_steps": 87,
103
+ "num_input_tokens_seen": 0,
104
+ "num_train_epochs": 3,
105
+ "save_steps": 500,
106
+ "stateful_callbacks": {
107
+ "TrainerControl": {
108
+ "args": {
109
+ "should_epoch_stop": false,
110
+ "should_evaluate": false,
111
+ "should_log": false,
112
+ "should_save": true,
113
+ "should_training_stop": true
114
+ },
115
+ "attributes": {}
116
+ }
117
+ },
118
+ "total_flos": 145518860697600.0,
119
+ "train_batch_size": 8,
120
+ "trial_name": null,
121
+ "trial_params": null
122
+ }
training_eval_loss.png ADDED
training_loss.png ADDED