99 lines
3.3 KiB
Markdown
99 lines
3.3 KiB
Markdown
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---
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library_name: transformers
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tags:
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- generated_from_trainer
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datasets:
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- tiny_shakespeare
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model-index:
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- name: tinyshakespeare-42m
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# tinyshakespeare-42m
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This model is a fine-tuned version of [](https://huggingface.co/) on the tiny_shakespeare dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.8737
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 40
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 16 | 6.9032 |
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| No log | 2.0 | 32 | 5.9671 |
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| No log | 3.0 | 48 | 5.7496 |
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| 6.6567 | 4.0 | 64 | 5.6037 |
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| 6.6567 | 5.0 | 80 | 5.4368 |
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| 6.6567 | 6.0 | 96 | 5.2910 |
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| 5.4744 | 7.0 | 112 | 5.1749 |
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| 5.4744 | 8.0 | 128 | 5.0940 |
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| 5.4744 | 9.0 | 144 | 5.0452 |
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| 5.0133 | 10.0 | 160 | 5.0255 |
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| 5.0133 | 11.0 | 176 | 5.0034 |
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| 5.0133 | 12.0 | 192 | 4.9969 |
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| 4.756 | 13.0 | 208 | 4.9831 |
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| 4.756 | 14.0 | 224 | 4.9877 |
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| 4.756 | 15.0 | 240 | 4.9961 |
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| 4.5668 | 16.0 | 256 | 5.0005 |
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| 4.5668 | 17.0 | 272 | 5.0135 |
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| 4.5668 | 18.0 | 288 | 5.0311 |
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| 4.3775 | 19.0 | 304 | 5.0535 |
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| 4.3775 | 20.0 | 320 | 5.0667 |
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| 4.3775 | 21.0 | 336 | 5.0927 |
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| 4.1854 | 22.0 | 352 | 5.1175 |
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| 4.1854 | 23.0 | 368 | 5.1487 |
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| 4.1854 | 24.0 | 384 | 5.1702 |
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| 3.9762 | 25.0 | 400 | 5.1887 |
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| 3.9762 | 26.0 | 416 | 5.2351 |
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| 3.9762 | 27.0 | 432 | 5.2616 |
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| 3.9762 | 28.0 | 448 | 5.2936 |
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| 3.793 | 29.0 | 464 | 5.3212 |
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| 3.793 | 30.0 | 480 | 5.3417 |
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| 3.793 | 31.0 | 496 | 5.3652 |
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| 3.639 | 32.0 | 512 | 5.3838 |
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| 3.639 | 33.0 | 528 | 5.4027 |
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| 3.639 | 34.0 | 544 | 5.4140 |
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| 3.5439 | 35.0 | 560 | 5.4247 |
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| 3.5439 | 36.0 | 576 | 5.4353 |
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| 3.5439 | 37.0 | 592 | 5.4410 |
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| 3.4797 | 38.0 | 608 | 5.4424 |
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| 3.4797 | 39.0 | 624 | 5.4424 |
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| 3.4797 | 40.0 | 640 | 5.4422 |
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### Framework versions
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- Transformers 4.57.1
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- Pytorch 2.6.0+cu124
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- Datasets 3.6.0
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- Tokenizers 0.22.1
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