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pythia-70m
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: 2.1844
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5049 | 1.0 | 79 | 2.3376 |
| 2.0867 | 2.0 | 158 | 2.2416 |
| 1.9168 | 3.0 | 237 | 2.1985 |
| 1.8108 | 4.0 | 316 | 2.1851 |
| 1.7446 | 5.0 | 395 | 2.1844 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
