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: 0.8885
- Pearson: 0.8036
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Pearson |
|---|---|---|---|---|
| 1.3148 | 1.0 | 619 | 0.9956 | 0.7674 |
| 0.9627 | 2.0 | 1238 | 0.8861 | 0.7987 |
| 0.8641 | 3.0 | 1857 | 0.9138 | 0.7965 |
| 0.7651 | 4.0 | 2476 | 0.8885 | 0.8036 |
Framework versions
- PEFT 0.14.0
- Transformers 4.49.0.dev0
- Pytorch 2.4.0+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0
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Base model
meta-llama/Llama-3.2-1B