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AbstractAI-LLaMA-7b
This model is a fine-tuned version of meta/instruction on the AbstractAI dataset. It achieves the following results on the evaluation set:
- Loss: 1.6270
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7854 | 0.24 | 20 | 1.7964 |
| 1.6215 | 0.49 | 40 | 1.6849 |
| 1.6423 | 0.73 | 60 | 1.6501 |
| 1.5844 | 0.98 | 80 | 1.6270 |
Framework versions
- Transformers 4.35.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.14.0
