gemma-2-2b-lora-finetuned-30k
This model is a fine-tuned version of google/gemma-2-2b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8385
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: 0.0005
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9208 | 1.0 | 6750 | 1.9144 |
| 1.8575 | 2.0 | 13500 | 1.8821 |
| 1.8024 | 3.0 | 20250 | 1.8586 |
| 1.7602 | 4.0 | 27000 | 1.8430 |
| 1.7283 | 5.0 | 33750 | 1.8370 |
| 1.6777 | 6.0 | 40500 | 1.8385 |
Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu118
- Datasets 3.1.0
- Tokenizers 0.21.0
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Model tree for nymless/gemma-2-2b-lora-finetuned-30k
Base model
google/gemma-2-2b