Gemma-2-2B
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Gemma-2-2B_task-3_120-samples_config-1_full
This model is a fine-tuned version of google/gemma-2-2b-it on the GaetanMichelet/chat-60_ft_task-3 and the GaetanMichelet/chat-120_ft_task-3 datasets. It achieves the following results on the evaluation set:
- Loss: 0.9431
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3447 | 1.0 | 11 | 1.3663 |
| 1.1652 | 2.0 | 22 | 1.2194 |
| 1.1036 | 3.0 | 33 | 1.0959 |
| 1.021 | 4.0 | 44 | 0.9977 |
| 0.9434 | 5.0 | 55 | 0.9632 |
| 0.8982 | 6.0 | 66 | 0.9467 |
| 0.8566 | 7.0 | 77 | 0.9431 |
| 0.8274 | 8.0 | 88 | 0.9472 |
| 0.75 | 9.0 | 99 | 0.9635 |
| 0.6436 | 10.0 | 110 | 1.0183 |
| 0.6415 | 11.0 | 121 | 1.0607 |
| 0.5077 | 12.0 | 132 | 1.1554 |
| 0.5122 | 13.0 | 143 | 1.2327 |
| 0.3314 | 14.0 | 154 | 1.3615 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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