Gemma-2-2B_auto
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Gemma-2-2B_task-2_120-samples_config-2_full_auto
This model is a fine-tuned version of google/gemma-2-2b-it on the GaetanMichelet/chat-60_ft_task-2_auto and the GaetanMichelet/chat-120_ft_task-2_auto datasets. It achieves the following results on the evaluation set:
- Loss: 0.8633
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: 16
- total_train_batch_size: 16
- 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 |
|---|---|---|---|
| 1.3338 | 0.9091 | 5 | 1.3082 |
| 1.3005 | 2.0 | 11 | 1.2187 |
| 1.1249 | 2.9091 | 16 | 1.1211 |
| 1.0441 | 4.0 | 22 | 1.0411 |
| 0.9601 | 4.9091 | 27 | 0.9654 |
| 0.8731 | 6.0 | 33 | 0.9165 |
| 0.8553 | 6.9091 | 38 | 0.8962 |
| 0.8229 | 8.0 | 44 | 0.8815 |
| 0.7958 | 8.9091 | 49 | 0.8724 |
| 0.7945 | 10.0 | 55 | 0.8658 |
| 0.7557 | 10.9091 | 60 | 0.8634 |
| 0.7322 | 12.0 | 66 | 0.8633 |
| 0.7081 | 12.9091 | 71 | 0.8664 |
| 0.6938 | 14.0 | 77 | 0.8733 |
| 0.6136 | 14.9091 | 82 | 0.8832 |
| 0.6249 | 16.0 | 88 | 0.8980 |
| 0.573 | 16.9091 | 93 | 0.9280 |
| 0.5309 | 18.0 | 99 | 0.9385 |
| 0.5198 | 18.9091 | 104 | 0.9874 |
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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