Gemma-2-2B
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Gemma-2-2B_task-1_60-samples_config-1_full
This model is a fine-tuned version of google/gemma-2-2b-it on the GaetanMichelet/chat-60_ft_task-1 dataset. It achieves the following results on the evaluation set:
- Loss: 1.0263
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 |
|---|---|---|---|
| 2.6097 | 0.8696 | 5 | 2.4178 |
| 2.3915 | 1.9130 | 11 | 2.0981 |
| 1.8784 | 2.9565 | 17 | 1.6329 |
| 1.4387 | 4.0 | 23 | 1.2761 |
| 1.107 | 4.8696 | 28 | 1.1339 |
| 0.972 | 5.9130 | 34 | 1.0639 |
| 0.8841 | 6.9565 | 40 | 1.0263 |
| 0.7834 | 8.0 | 46 | 1.0309 |
| 0.7282 | 8.8696 | 51 | 1.0628 |
| 0.5877 | 9.9130 | 57 | 1.1318 |
| 0.4988 | 10.9565 | 63 | 1.2335 |
| 0.3489 | 12.0 | 69 | 1.5287 |
| 0.2429 | 12.8696 | 74 | 1.6523 |
| 0.1687 | 13.9130 | 80 | 1.9331 |
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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