Hugging Face's logo

Ar4l
/
DebertaV2-Base-10M_babylm-A__rte

Safetensors
deberta-v2
Model card Files Community
DebertaV2-Base-10M_babylm-A__rte
File size: 2,957 Bytes 
8821e9f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
 
{
  "best_metric": 0.6127167630057804,
  "best_model_checkpoint": "/home/ubuntu/utah/babylm-24/src/evaluation/results/finetune/DebertaV2-Base-10M_babylm-A/rte/checkpoint-312",
  "epoch": 4.0,
  "eval_steps": 500,
  "global_step": 1248,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.5179855823516846,
      "eval_f1": 0.6127167630057804,
      "eval_loss": 0.6988222599029541,
      "eval_mcc": 0.09869207097117276,
      "eval_runtime": 0.2603,
      "eval_samples_per_second": 534.027,
      "eval_steps_per_second": 69.155,
      "step": 312
    },
    {
      "epoch": 1.6025641025641026,
      "grad_norm": 2.8960421085357666,
      "learning_rate": 2.7596153846153846e-05,
      "loss": 0.6829,
      "step": 500
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.5899280309677124,
      "eval_f1": 0.4864864864864865,
      "eval_loss": 0.6877012848854065,
      "eval_mcc": 0.1635282583804096,
      "eval_runtime": 0.2394,
      "eval_samples_per_second": 580.645,
      "eval_steps_per_second": 75.191,
      "step": 624
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.46043166518211365,
      "eval_f1": 0.5714285714285714,
      "eval_loss": 1.203949213027954,
      "eval_mcc": -0.03987122665174367,
      "eval_runtime": 0.2479,
      "eval_samples_per_second": 560.646,
      "eval_steps_per_second": 72.602,
      "step": 936
    },
    {
      "epoch": 3.2051282051282053,
      "grad_norm": 10.899106979370117,
      "learning_rate": 2.5192307692307694e-05,
      "loss": 0.4839,
      "step": 1000
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.49640288949012756,
      "eval_f1": 0.5454545454545454,
      "eval_loss": 1.811629295349121,
      "eval_mcc": 0.016953317256112287,
      "eval_runtime": 0.2418,
      "eval_samples_per_second": 574.756,
      "eval_steps_per_second": 74.429,
      "step": 1248
    },
    {
      "epoch": 4.0,
      "step": 1248,
      "total_flos": 587617475420160.0,
      "train_loss": 0.5243261960836557,
      "train_runtime": 82.8963,
      "train_samples_per_second": 600.751,
      "train_steps_per_second": 75.275
    }
  ],
  "logging_steps": 500,
  "max_steps": 6240,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 20,
  "save_steps": 500,
  "stateful_callbacks": {
    "EarlyStoppingCallback": {
      "args": {
        "early_stopping_patience": 3,
        "early_stopping_threshold": 0.001
      },
      "attributes": {
        "early_stopping_patience_counter": 0
      }
    },
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 587617475420160.0,
  "train_batch_size": 8,
  "trial_name": null,
  "trial_params": null
}