izzcw commited on
Commit
add821d
·
verified ·
1 Parent(s): 2734ff3

End of training

Browse files
README.md CHANGED
@@ -4,6 +4,7 @@ license: llama3
4
  base_model: meta-llama/Meta-Llama-3-70B-Instruct
5
  tags:
6
  - llama-factory
 
7
  - generated_from_trainer
8
  model-index:
9
  - name: filtered_construction_train_data
@@ -15,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # filtered_construction_train_data
17
 
18
- This model is a fine-tuned version of [meta-llama/Meta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) on the None dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.3455
21
 
22
  ## Model description
23
 
 
4
  base_model: meta-llama/Meta-Llama-3-70B-Instruct
5
  tags:
6
  - llama-factory
7
+ - lora
8
  - generated_from_trainer
9
  model-index:
10
  - name: filtered_construction_train_data
 
16
 
17
  # filtered_construction_train_data
18
 
19
+ This model is a fine-tuned version of [meta-llama/Meta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) on the identity and the filtered_construction_train_data datasets.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 0.3448
22
 
23
  ## Model description
24
 
all_results.json CHANGED
@@ -1,12 +1,12 @@
1
  {
2
  "epoch": 0.9947460595446584,
3
- "eval_loss": 0.2917576730251312,
4
- "eval_runtime": 31.1293,
5
- "eval_samples_per_second": 6.007,
6
- "eval_steps_per_second": 0.385,
7
- "total_flos": 70688266911744.0,
8
- "train_loss": 0.4186411055041031,
9
- "train_runtime": 4104.4724,
10
- "train_samples_per_second": 2.225,
11
- "train_steps_per_second": 0.017
12
  }
 
1
  {
2
  "epoch": 0.9947460595446584,
3
+ "eval_loss": 0.3448218107223511,
4
+ "eval_runtime": 38.3093,
5
+ "eval_samples_per_second": 4.881,
6
+ "eval_steps_per_second": 0.626,
7
+ "total_flos": 8671839626723328.0,
8
+ "train_loss": 0.3302016514287868,
9
+ "train_runtime": 6265.8616,
10
+ "train_samples_per_second": 1.457,
11
+ "train_steps_per_second": 0.011
12
  }
eval_results.json CHANGED
@@ -1,7 +1,7 @@
1
  {
2
  "epoch": 0.9947460595446584,
3
- "eval_loss": 0.2917576730251312,
4
- "eval_runtime": 31.1293,
5
- "eval_samples_per_second": 6.007,
6
- "eval_steps_per_second": 0.385
7
  }
 
1
  {
2
  "epoch": 0.9947460595446584,
3
+ "eval_loss": 0.3448218107223511,
4
+ "eval_runtime": 38.3093,
5
+ "eval_samples_per_second": 4.881,
6
+ "eval_steps_per_second": 0.626
7
  }
train_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "epoch": 0.9947460595446584,
3
- "total_flos": 70688266911744.0,
4
- "train_loss": 0.4186411055041031,
5
- "train_runtime": 4104.4724,
6
- "train_samples_per_second": 2.225,
7
- "train_steps_per_second": 0.017
8
  }
 
1
  {
2
  "epoch": 0.9947460595446584,
3
+ "total_flos": 8671839626723328.0,
4
+ "train_loss": 0.3302016514287868,
5
+ "train_runtime": 6265.8616,
6
+ "train_samples_per_second": 1.457,
7
+ "train_steps_per_second": 0.011
8
  }
trainer_state.json CHANGED
@@ -2,7 +2,7 @@
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
  "epoch": 0.9947460595446584,
5
- "eval_steps": 50,
6
  "global_step": 71,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
@@ -10,69 +10,77 @@
10
  "log_history": [
11
  {
12
  "epoch": 0.14010507880910683,
13
- "grad_norm": 4.574825881923724,
14
- "learning_rate": 9.975153876827008e-06,
15
- "loss": 1.0004,
16
  "step": 10
17
  },
18
  {
19
  "epoch": 0.28021015761821366,
20
- "grad_norm": 3.6081843985187314,
21
- "learning_rate": 9.131193871579975e-06,
22
- "loss": 0.4861,
23
  "step": 20
24
  },
25
  {
26
  "epoch": 0.4203152364273205,
27
- "grad_norm": 2.905095458038617,
28
- "learning_rate": 7.281053286765816e-06,
29
- "loss": 0.3534,
 
 
 
 
 
 
 
 
30
  "step": 30
31
  },
32
  {
33
  "epoch": 0.5604203152364273,
34
- "grad_norm": 2.2841947965901634,
35
- "learning_rate": 4.875346541309637e-06,
36
- "loss": 0.2909,
37
  "step": 40
38
  },
39
  {
40
  "epoch": 0.7005253940455342,
41
- "grad_norm": 2.5015051234484025,
42
- "learning_rate": 2.5000000000000015e-06,
43
- "loss": 0.2979,
44
  "step": 50
45
  },
46
  {
47
- "epoch": 0.7005253940455342,
48
- "eval_loss": 0.30582478642463684,
49
- "eval_runtime": 32.7423,
50
- "eval_samples_per_second": 5.711,
51
- "eval_steps_per_second": 0.366,
52
- "step": 50
53
  },
54
  {
55
  "epoch": 0.840630472854641,
56
- "grad_norm": 2.1203165599067386,
57
- "learning_rate": 7.33545591839222e-07,
58
- "loss": 0.272,
 
59
  "step": 60
60
  },
61
  {
62
  "epoch": 0.9807355516637478,
63
- "grad_norm": 2.2116991324066575,
64
- "learning_rate": 6.215393905388278e-09,
65
- "loss": 0.2585,
66
  "step": 70
67
  },
68
  {
69
  "epoch": 0.9947460595446584,
70
  "step": 71,
71
- "total_flos": 70688266911744.0,
72
- "train_loss": 0.4186411055041031,
73
- "train_runtime": 4104.4724,
74
- "train_samples_per_second": 2.225,
75
- "train_steps_per_second": 0.017
76
  }
77
  ],
78
  "logging_steps": 10,
@@ -92,7 +100,7 @@
92
  "attributes": {}
93
  }
94
  },
95
- "total_flos": 70688266911744.0,
96
  "train_batch_size": 1,
97
  "trial_name": null,
98
  "trial_params": null
 
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
  "epoch": 0.9947460595446584,
5
+ "eval_steps": 30,
6
  "global_step": 71,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
 
10
  "log_history": [
11
  {
12
  "epoch": 0.14010507880910683,
13
+ "grad_norm": 0.3536237146215911,
14
+ "learning_rate": 9.975153876827008e-05,
15
+ "loss": 0.592,
16
  "step": 10
17
  },
18
  {
19
  "epoch": 0.28021015761821366,
20
+ "grad_norm": 0.5343947420334044,
21
+ "learning_rate": 9.131193871579975e-05,
22
+ "loss": 0.3707,
23
  "step": 20
24
  },
25
  {
26
  "epoch": 0.4203152364273205,
27
+ "grad_norm": 0.2601189191872133,
28
+ "learning_rate": 7.281053286765815e-05,
29
+ "loss": 0.2838,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.4203152364273205,
34
+ "eval_loss": 0.3709219992160797,
35
+ "eval_runtime": 38.6541,
36
+ "eval_samples_per_second": 4.838,
37
+ "eval_steps_per_second": 0.621,
38
  "step": 30
39
  },
40
  {
41
  "epoch": 0.5604203152364273,
42
+ "grad_norm": 0.4098038469696863,
43
+ "learning_rate": 4.875346541309637e-05,
44
+ "loss": 0.2769,
45
  "step": 40
46
  },
47
  {
48
  "epoch": 0.7005253940455342,
49
+ "grad_norm": 0.25178953197662385,
50
+ "learning_rate": 2.500000000000001e-05,
51
+ "loss": 0.2928,
52
  "step": 50
53
  },
54
  {
55
+ "epoch": 0.840630472854641,
56
+ "grad_norm": 0.26707631949874144,
57
+ "learning_rate": 7.33545591839222e-06,
58
+ "loss": 0.2593,
59
+ "step": 60
 
60
  },
61
  {
62
  "epoch": 0.840630472854641,
63
+ "eval_loss": 0.3455033600330353,
64
+ "eval_runtime": 38.7035,
65
+ "eval_samples_per_second": 4.832,
66
+ "eval_steps_per_second": 0.62,
67
  "step": 60
68
  },
69
  {
70
  "epoch": 0.9807355516637478,
71
+ "grad_norm": 0.29717693616382934,
72
+ "learning_rate": 6.215393905388278e-08,
73
+ "loss": 0.2559,
74
  "step": 70
75
  },
76
  {
77
  "epoch": 0.9947460595446584,
78
  "step": 71,
79
+ "total_flos": 8671839626723328.0,
80
+ "train_loss": 0.3302016514287868,
81
+ "train_runtime": 6265.8616,
82
+ "train_samples_per_second": 1.457,
83
+ "train_steps_per_second": 0.011
84
  }
85
  ],
86
  "logging_steps": 10,
 
100
  "attributes": {}
101
  }
102
  },
103
+ "total_flos": 8671839626723328.0,
104
  "train_batch_size": 1,
105
  "trial_name": null,
106
  "trial_params": null
training_eval_loss.png CHANGED
training_loss.png CHANGED