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causal_sft_pythia-1.4b_alpaca_farm_8e-6_0.0_16-20231016-180048
This model is a fine-tuned version of EleutherAI/pythia-1.4b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.6362
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: 8e-06
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.6442 | 1.0 | 193 | 1.5803 |
| 2.6442 | 2.0 | 386 | 1.5988 |
| 1.3739 | 3.0 | 579 | 1.7013 |
| 1.3739 | 4.0 | 772 | 1.8476 |
| 1.3739 | 5.0 | 965 | 2.0345 |
| 0.6878 | 6.0 | 1158 | 2.2254 |
| 0.6878 | 7.0 | 1351 | 2.3832 |
| 0.2873 | 8.0 | 1544 | 2.5013 |
| 0.2873 | 9.0 | 1737 | 2.5872 |
| 0.2873 | 10.0 | 1930 | 2.6362 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
