Hugging Face's logo

inflaton
/
cs605-nlp-assignment-2-bert-large-uncased-v2

Multiple Choice
Transformers
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Community
cs605-nlp-assignment-2-bert-large-uncased-v2
File size: 1,746 Bytes 
e2d803d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 2.680965147453083,
  "eval_steps": 500,
  "global_step": 2000,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.6702412868632708,
      "grad_norm": 12.96187973022461,
      "learning_rate": 5.852478627669732e-06,
      "loss": 0.5779,
      "step": 500
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7619845867156982,
      "eval_loss": 0.48268476128578186,
      "eval_runtime": 9.469,
      "eval_samples_per_second": 315.027,
      "eval_steps_per_second": 19.749,
      "step": 746
    },
    {
      "epoch": 1.3404825737265416,
      "grad_norm": 19.64900779724121,
      "learning_rate": 5.432041944647482e-06,
      "loss": 0.464,
      "step": 1000
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7680187821388245,
      "eval_loss": 0.5030698180198669,
      "eval_runtime": 9.5015,
      "eval_samples_per_second": 313.951,
      "eval_steps_per_second": 19.681,
      "step": 1492
    },
    {
      "epoch": 2.0107238605898123,
      "grad_norm": 9.11796760559082,
      "learning_rate": 5.0116052616252305e-06,
      "loss": 0.4025,
      "step": 1500
    },
    {
      "epoch": 2.680965147453083,
      "grad_norm": 11.002016067504883,
      "learning_rate": 4.59116857860298e-06,
      "loss": 0.2688,
      "step": 2000
    }
  ],
  "logging_steps": 500,
  "max_steps": 7460,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 10,
  "save_steps": 500,
  "total_flos": 5845028279107500.0,
  "train_batch_size": 16,
  "trial_name": null,
  "trial_params": {
    "learning_rate": 6.272915310691983e-06,
    "per_device_train_batch_size": 16
  }
}