TinyStories-wikitrain-3m-aws
This model is a fine-tuned version of roneneldan/TinyStories-3M on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.8104
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.0226 | 1.0 | 2334 | 6.0024 |
| 5.7486 | 2.0 | 4668 | 5.8493 |
| 5.6671 | 3.0 | 7002 | 5.8104 |
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
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