gemma-7b-sft-full-longest-1k-v0
This model is a fine-tuned version of google/gemma-7b on the HuggingFaceH4/OpenHermes-2.5-1k-longest dataset. It achieves the following results on the evaluation set:
- Loss: 1.7445
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-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.6993 | 1.0 | 6 | 2.8191 |
| 3.3379 | 2.0 | 12 | 2.2503 |
| 2.8978 | 3.0 | 18 | 2.0730 |
| 2.7495 | 4.0 | 24 | 1.9771 |
| 2.5265 | 5.0 | 30 | 1.9129 |
| 2.4727 | 6.0 | 36 | 1.8681 |
| 2.443 | 7.0 | 42 | 1.8344 |
| 2.3432 | 8.0 | 48 | 1.8083 |
| 2.3291 | 9.0 | 54 | 1.7878 |
| 2.2843 | 10.0 | 60 | 1.7719 |
| 2.2529 | 11.0 | 66 | 1.7595 |
| 2.2723 | 12.0 | 72 | 1.7509 |
| 2.2302 | 13.0 | 78 | 1.7465 |
| 2.2224 | 14.0 | 84 | 1.7448 |
| 2.2309 | 15.0 | 90 | 1.7445 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.1
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Base model
google/gemma-7b