sequence_classification
This model is a fine-tuned version of meta-llama/Llama-3.2-1B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8870
- Pearson: 0.7959
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Pearson |
|---|---|---|---|---|
| 1.3183 | 1.0 | 619 | 0.9436 | 0.7788 |
| 0.9652 | 2.0 | 1238 | 0.8870 | 0.7959 |
Framework versions
- PEFT 0.14.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
meta-llama/Llama-3.2-1B