gokuls / model_v1_complete_training_wt_init_48_tiny_emb_comp

huggingface.co
Total runs: 21
24-hour runs: 0
7-day runs: -4
30-day runs: 6
Model's Last Updated: July 19 2023
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Introduction of model_v1_complete_training_wt_init_48_tiny_emb_comp

Model Details of model_v1_complete_training_wt_init_48_tiny_emb_comp

model_v1_complete_training_wt_init_48_tiny_emb_comp

This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.7768
  • Accuracy: 0.3787
Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure
Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 1e-05
  • train_batch_size: 64
  • eval_batch_size: 64
  • seed: 10
  • distributed_type: multi-GPU
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 10000
  • num_epochs: 50
Training results
Training Loss Epoch Step Validation Loss Accuracy
6.0945 0.33 30000 6.0802 0.1412
5.2818 0.66 60000 5.2151 0.2395
4.8774 0.98 90000 4.8105 0.2760
4.7096 1.31 120000 4.6474 0.2894
4.6109 1.64 150000 4.5460 0.2985
4.5415 1.97 180000 4.4761 0.3050
4.4884 2.29 210000 4.4231 0.3101
4.446 2.62 240000 4.3791 0.3144
4.4072 2.95 270000 4.3416 0.3179
4.3755 3.28 300000 4.3064 0.3218
4.3455 3.6 330000 4.2724 0.3254
4.3172 3.93 360000 4.2410 0.3291
4.2921 4.26 390000 4.2130 0.3324
4.2718 4.59 420000 4.1892 0.3348
4.2485 4.92 450000 4.1688 0.3370
4.2267 5.24 480000 4.1500 0.3394
4.2081 5.57 510000 4.1314 0.3412
4.198 5.9 540000 4.1117 0.3435
4.1666 6.23 570000 4.0949 0.3451
4.1498 6.55 600000 4.0786 0.3464
4.1104 6.88 630000 4.0465 0.3499
4.0715 7.21 660000 4.0078 0.3539
4.0298 7.54 690000 3.9722 0.3576
4.0085 7.87 720000 3.9520 0.3599
3.99 8.19 750000 3.9390 0.3615
3.9799 8.52 780000 3.9272 0.3627
3.9766 8.85 810000 3.9138 0.3641
3.9534 9.18 840000 3.9034 0.3651
3.9521 9.5 870000 3.8918 0.3662
3.9314 9.83 900000 3.8817 0.3670
3.9096 10.16 930000 3.8709 0.3683
3.904 10.49 960000 3.8604 0.3695
3.8965 10.81 990000 3.8509 0.3704
3.8788 11.14 1020000 3.8406 0.3717
3.8748 11.47 1050000 3.8329 0.3728
3.8638 11.8 1080000 3.8250 0.3733
3.8586 12.13 1110000 3.8203 0.3739
3.8495 12.45 1140000 3.8146 0.3746
3.8469 12.78 1170000 3.8054 0.3753
3.8352 13.11 1200000 3.8007 0.3761
3.8339 13.44 1230000 3.7949 0.3766
3.8215 13.76 1260000 3.7894 0.3772
3.8175 14.09 1290000 3.7835 0.3779
3.817 14.42 1320000 3.7768 0.3787
Framework versions
  • Transformers 4.30.2
  • Pytorch 1.14.0a0+410ce96
  • Datasets 2.13.1
  • Tokenizers 0.13.3

Runs of gokuls model_v1_complete_training_wt_init_48_tiny_emb_comp on huggingface.co

21
Total runs
0
24-hour runs
-2
3-day runs
-4
7-day runs
6
30-day runs

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