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gpt-neo-1.3B-cs-finetuning-filtered-7 - bnb 4bits
- Model creator: https://huggingface.co/KimByeongSu/
- Original model: https://huggingface.co/KimByeongSu/gpt-neo-1.3B-cs-finetuning-filtered-7/
Original model description:
license: mit tags: - generated_from_trainer base_model: EleutherAI/gpt-neo-1.3B model-index: - name: gpt-neo-1.3B-cs-finetuning-filtered-7 results: []
gpt-neo-1.3B-cs-finetuning-filtered-7
This model is a fine-tuned version of EleutherAI/gpt-neo-1.3B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.5202
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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7073 | 1.0 | 949 | 2.5326 |
| 2.1524 | 2.0 | 1898 | 2.4802 |
| 1.8341 | 3.0 | 2847 | 2.5202 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.1
- Datasets 2.12.0
- Tokenizers 0.15.1
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