wiki_sh1_30 / README.md
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metadata
library_name: transformers
tags:
  - generated_from_trainer
model-index:
  - name: wiki_sh1_30
    results: []

wiki_sh1_30

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 6.0193

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: 0.0001
  • train_batch_size: 256
  • eval_batch_size: 256
  • seed: 30
  • optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 20
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
7.3374 1.0 399 6.7886
6.5631 2.0 798 6.5030
6.3611 3.0 1197 6.3739
6.2399 4.0 1596 6.2857
6.1437 5.0 1995 6.2176
6.0582 6.0 2394 6.1570
5.9795 7.0 2793 6.1109
5.9051 8.0 3192 6.0746
5.8345 9.0 3591 6.0432
5.7674 10.0 3990 6.0230
5.7039 11.0 4389 6.0070
5.6435 12.0 4788 5.9996
5.5868 13.0 5187 5.9982
5.5342 14.0 5586 5.9972
5.4864 15.0 5985 5.9970
5.4421 16.0 6384 6.0018
5.4034 17.0 6783 6.0083
5.3716 18.0 7182 6.0128
5.3466 19.0 7581 6.0176
5.3284 20.0 7980 6.0193

Framework versions

  • Transformers 4.56.1
  • Pytorch 2.8.0+cu128
  • Datasets 4.0.0
  • Tokenizers 0.22.0