final_gemma_sequence_classification
This model is a fine-tuned version of google/gemma-2-9b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2655
- Pearson: 0.9575
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: 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 | Pearson |
|---|---|---|---|---|
| No log | 1.0 | 199 | 0.2474 | 0.9467 |
| No log | 2.0 | 398 | 0.2228 | 0.9603 |
| 0.3275 | 3.0 | 597 | 0.2239 | 0.9498 |
| 0.3275 | 4.0 | 796 | 0.3003 | 0.9637 |
| 0.3275 | 5.0 | 995 | 0.2655 | 0.9575 |
Framework versions
- PEFT 0.14.0
- Transformers 4.45.2
- Pytorch 2.4.0a0+f70bd71a48.nv24.06
- Datasets 3.2.0
- Tokenizers 0.20.3
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Base model
google/gemma-2-9b