---
library_name: transformers
tags:
- generated_from_trainer
datasets:
- tiny_shakespeare
model-index:
- name: tinyshakespeare-42m
  results: []
---

<!-- 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 [](https://huggingface.co/) 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