old-full-lstm-4 / README.md
abhinavp's picture
Model save
48fe587 verified
metadata
tags:
  - generated_from_trainer
model-index:
  - name: full-lstm-4
    results: []

full-lstm-4

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

  • Loss: 3.9704

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: 5e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 3052726

Training results

Training Loss Epoch Step Validation Loss
4.8004 0.03 76319 4.7641
4.5121 0.03 152638 4.4806
4.3684 1.03 228957 4.3448
4.2765 0.03 305276 4.2616
4.2121 1.03 381595 4.2050
4.1608 0.03 457914 4.1635
4.1255 1.03 534233 4.1324
4.0959 0.03 610552 4.1078
4.0666 0.03 686871 4.0883
4.0436 1.03 763190 4.0722
4.0239 0.03 839509 4.0580
4.0089 1.03 915828 4.0473
3.9888 0.03 992148 4.0371
3.9758 1.03 1068468 4.0294
3.9699 0.03 1144788 4.0218
3.9587 1.03 1221108 4.0161
3.9389 0.03 1297428 4.0109
3.931 1.03 1373748 4.0059
3.9193 0.03 1450068 4.0013
3.9126 1.03 1526388 3.9978
3.9121 0.03 1602708 3.9949
3.9067 1.03 1679028 3.9922
3.9079 0.03 1755348 3.9896
3.904 1.03 1831668 3.9874
3.897 0.03 1907988 3.9856
3.8901 1.03 1984308 3.9840
3.8877 0.03 2060628 3.9821
3.8779 1.03 2136948 3.9806
3.8775 0.03 2213268 3.9794
3.8691 0.03 2289588 3.9782
3.8627 0.03 2365908 3.9771
3.8616 1.03 2442228 3.9761
3.8491 0.03 2518548 3.9749
3.848 1.03 2594868 3.9738
3.8413 0.03 2671188 3.9730
3.842 1.03 2747508 3.9721
3.8472 0.03 2823828 3.9715
3.8438 1.03 2900148 3.9710
3.85 0.03 2976468 3.9706
3.8505 0.02 3052726 3.9704

Framework versions

  • Transformers 4.33.3
  • Pytorch 2.0.1
  • Datasets 2.12.0
  • Tokenizers 0.13.3