lamini7021m
This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8727
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9751 | 1.0 | 282 | 1.8804 |
| 1.7846 | 2.0 | 564 | 1.8514 |
| 1.705 | 3.0 | 846 | 1.8403 |
| 1.6416 | 4.0 | 1128 | 1.8391 |
| 1.5898 | 5.0 | 1410 | 1.8432 |
| 1.5456 | 6.0 | 1692 | 1.8454 |
| 1.5105 | 7.0 | 1974 | 1.8537 |
| 1.4816 | 8.0 | 2256 | 1.8616 |
| 1.4553 | 9.0 | 2538 | 1.8689 |
| 1.4415 | 10.0 | 2820 | 1.8727 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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Base model
EleutherAI/pythia-70m