Gemma-2-2B
Collection
36 items
•
Updated
Gemma-2-2B_task-2_60-samples_config-1
This model is a fine-tuned version of google/gemma-2-2b-it on the GaetanMichelet/chat-60_ft_task-2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6944
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 |
|---|---|---|---|
| 1.0003 | 0.8696 | 5 | 1.0526 |
| 0.9778 | 1.9130 | 11 | 0.9144 |
| 0.8521 | 2.9565 | 17 | 0.8022 |
| 0.7041 | 4.0 | 23 | 0.7458 |
| 0.6478 | 4.8696 | 28 | 0.7177 |
| 0.5764 | 5.9130 | 34 | 0.7000 |
| 0.4782 | 6.9565 | 40 | 0.6944 |
| 0.4344 | 8.0 | 46 | 0.6963 |
| 0.3571 | 8.8696 | 51 | 0.7276 |
| 0.2965 | 9.9130 | 57 | 0.8026 |
| 0.2046 | 10.9565 | 63 | 0.9341 |
| 0.119 | 12.0 | 69 | 1.0343 |
| 0.064 | 12.8696 | 74 | 1.2800 |
| 0.0358 | 13.9130 | 80 | 1.4146 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Downloads last month
- 10