metadata
library_name: transformers
tags:
- generated_from_trainer
datasets:
- tiny_shakespeare
model-index:
- name: tinyshakespeare-13m
results: []
tinyshakespeare-13m
This model is a fine-tuned version of on the tiny_shakespeare dataset. It achieves the following results on the evaluation set:
- Loss: 4.9693
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 40
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 32 | 7.3043 |
| 7.7103 | 2.0 | 64 | 5.9158 |
| 7.7103 | 3.0 | 96 | 5.6154 |
| 5.8675 | 4.0 | 128 | 5.3680 |
| 5.4479 | 5.0 | 160 | 5.2088 |
| 5.4479 | 6.0 | 192 | 5.1126 |
| 5.1825 | 7.0 | 224 | 5.0313 |
| 4.9945 | 8.0 | 256 | 4.9771 |
| 4.9945 | 9.0 | 288 | 4.9379 |
| 4.8838 | 10.0 | 320 | 4.9208 |
| 4.7883 | 11.0 | 352 | 4.8985 |
| 4.7883 | 12.0 | 384 | 4.8766 |
| 4.7261 | 13.0 | 416 | 4.8631 |
| 4.7261 | 14.0 | 448 | 4.8617 |
| 4.6621 | 15.0 | 480 | 4.8445 |
| 4.5955 | 16.0 | 512 | 4.8370 |
| 4.5955 | 17.0 | 544 | 4.8295 |
| 4.52 | 18.0 | 576 | 4.8215 |
| 4.4819 | 19.0 | 608 | 4.8278 |
| 4.4819 | 20.0 | 640 | 4.8169 |
| 4.4415 | 21.0 | 672 | 4.8252 |
| 4.3929 | 22.0 | 704 | 4.8199 |
| 4.3929 | 23.0 | 736 | 4.8243 |
| 4.3438 | 24.0 | 768 | 4.8340 |
| 4.3117 | 25.0 | 800 | 4.8309 |
| 4.3117 | 26.0 | 832 | 4.8410 |
| 4.2626 | 27.0 | 864 | 4.8439 |
| 4.2626 | 28.0 | 896 | 4.8437 |
| 4.2404 | 29.0 | 928 | 4.8404 |
| 4.1957 | 30.0 | 960 | 4.8540 |
| 4.1957 | 31.0 | 992 | 4.8560 |
| 4.1681 | 32.0 | 1024 | 4.8653 |
| 4.1441 | 33.0 | 1056 | 4.8725 |
| 4.1441 | 34.0 | 1088 | 4.8770 |
| 4.1097 | 35.0 | 1120 | 4.8798 |
| 4.0823 | 36.0 | 1152 | 4.8884 |
| 4.0823 | 37.0 | 1184 | 4.8869 |
| 4.0783 | 38.0 | 1216 | 4.8925 |
| 4.0783 | 39.0 | 1248 | 4.8948 |
| 4.0641 | 40.0 | 1280 | 4.8941 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.22.1