gpt2_small_expandedbabyLM_5M_43
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3202
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: 0.0001
- train_batch_size: 256
- eval_batch_size: 256
- seed: 43
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 4000
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 8.5971 | 1.0 | 255 | 6.2818 |
| 6.5929 | 2.0 | 510 | 4.9686 |
| 5.5723 | 3.0 | 765 | 4.4562 |
| 4.8384 | 4.0 | 1020 | 4.1974 |
| 4.6361 | 5.0 | 1275 | 4.0102 |
| 4.4927 | 6.0 | 1530 | 3.8702 |
| 4.3462 | 7.0 | 1785 | 3.7573 |
| 4.1438 | 8.0 | 2040 | 3.6666 |
| 4.0546 | 9.0 | 2295 | 3.5964 |
| 3.9827 | 10.0 | 2550 | 3.5370 |
| 3.8424 | 11.0 | 2805 | 3.4871 |
| 3.7629 | 12.0 | 3060 | 3.4416 |
| 3.7141 | 13.0 | 3315 | 3.4097 |
| 3.6457 | 14.0 | 3570 | 3.3824 |
| 3.5473 | 15.0 | 3825 | 3.3614 |
| 3.483 | 16.0 | 4080 | 3.3455 |
| 3.4248 | 17.0 | 4335 | 3.3265 |
| 3.3625 | 18.0 | 4590 | 3.3202 |
| 3.2092 | 19.0 | 4845 | 3.3202 |
| 3.16 | 20.0 | 5100 | 3.3262 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.11.0+cu130
- Datasets 4.1.1
- Tokenizers 0.13.3
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