falcon-7b-AG-News
This model is a fine-tuned version of tiiuae/falcon-7b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4483
- Balanced Accuracy: 0.8911
- Accuracy: 0.8867
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: 0.0001
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy | Accuracy |
|---|---|---|---|---|---|
| 1.7257 | 1.0 | 25 | 1.2132 | 0.5713 | 0.47 |
| 0.8197 | 2.0 | 50 | 0.5488 | 0.8580 | 0.8367 |
| 0.2867 | 3.0 | 75 | 0.4392 | 0.8726 | 0.86 |
| 0.104 | 4.0 | 100 | 0.5123 | 0.8912 | 0.8833 |
| 0.0393 | 5.0 | 125 | 0.4483 | 0.8911 | 0.8867 |
Framework versions
- PEFT 0.11.1
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
tiiuae/falcon-7b