gemma-backtrack-0522
This model is a fine-tuned version of google/gemma-7b on the yimingzhang/backtrack-0522 dataset. It achieves the following results on the evaluation set:
- Loss: 24.1739
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 63.281 | 0.8571 | 3 | 31.5266 |
| 53.4745 | 2.0 | 7 | 24.9424 |
| 53.4745 | 2.5714 | 9 | 24.1739 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
google/gemma-7b