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tinyshakespeare-13m
MolecularReality/tinyshakespeare-13m
tinyshakespeare-13m is a text generation model from MolecularReality. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- gpt2
- Access
- Public
- Created
- Oct 22, 2025
- Updated
- Oct 29, 2025
- SHA
- 7d316e48
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Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- Created
- Oct 22, 2025
- Updated
- Oct 29, 2025