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tinyshakespeare-42m
MolecularReality/tinyshakespeare-42m
tinyshakespeare-42m 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 29, 2025
- Updated
- Oct 29, 2025
- SHA
- 7b2e29ea
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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-42m
This model is a fine-tuned version of on the tiny_shakespeare dataset. It achieves the following results on the evaluation set:
- Loss: 4.8737
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: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 40
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 16 | 6.9032 |
| No log | 2.0 | 32 | 5.9671 |
| No log | 3.0 | 48 | 5.7496 |
| 6.6567 | 4.0 | 64 | 5.6037 |
| 6.6567 | 5.0 | 80 | 5.4368 |
| 6.6567 | 6.0 | 96 | 5.2910 |
| 5.4744 | 7.0 | 112 | 5.1749 |
| 5.4744 | 8.0 | 128 | 5.0940 |
| 5.4744 | 9.0 | 144 | 5.0452 |
| 5.0133 | 10.0 | 160 | 5.0255 |
| 5.0133 | 11.0 | 176 | 5.0034 |
| 5.0133 | 12.0 | 192 | 4.9969 |
| 4.756 | 13.0 | 208 | 4.9831 |
| 4.756 | 14.0 | 224 | 4.9877 |
| 4.756 | 15.0 | 240 | 4.9961 |
| 4.5668 | 16.0 | 256 | 5.0005 |
| 4.5668 | 17.0 | 272 | 5.0135 |
| 4.5668 | 18.0 | 288 | 5.0311 |
| 4.3775 | 19.0 | 304 | 5.0535 |
| 4.3775 | 20.0 | 320 | 5.0667 |
| 4.3775 | 21.0 | 336 | 5.0927 |
| 4.1854 | 22.0 | 352 | 5.1175 |
| 4.1854 | 23.0 | 368 | 5.1487 |
| 4.1854 | 24.0 | 384 | 5.1702 |
| 3.9762 | 25.0 | 400 | 5.1887 |
| 3.9762 | 26.0 | 416 | 5.2351 |
| 3.9762 | 27.0 | 432 | 5.2616 |
| 3.9762 | 28.0 | 448 | 5.2936 |
| 3.793 | 29.0 | 464 | 5.3212 |
| 3.793 | 30.0 | 480 | 5.3417 |
| 3.793 | 31.0 | 496 | 5.3652 |
| 3.639 | 32.0 | 512 | 5.3838 |
| 3.639 | 33.0 | 528 | 5.4027 |
| 3.639 | 34.0 | 544 | 5.4140 |
| 3.5439 | 35.0 | 560 | 5.4247 |
| 3.5439 | 36.0 | 576 | 5.4353 |
| 3.5439 | 37.0 | 592 | 5.4410 |
| 3.4797 | 38.0 | 608 | 5.4424 |
| 3.4797 | 39.0 | 624 | 5.4424 |
| 3.4797 | 40.0 | 640 | 5.4422 |
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 29, 2025
- Updated
- Oct 29, 2025