98a0e09a-cde9-4004-a032-0162d78265b7
This model is a fine-tuned version of unsloth/gemma-2-2b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9889
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: 0.00021
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 0.0002 | 1 | 1.4560 |
1.5853 | 0.0076 | 50 | 1.1970 |
1.4719 | 0.0151 | 100 | 1.1673 |
1.534 | 0.0227 | 150 | 1.1341 |
1.4326 | 0.0302 | 200 | 1.0999 |
1.2533 | 0.0378 | 250 | 1.0667 |
1.4015 | 0.0453 | 300 | 1.0479 |
1.2949 | 0.0529 | 350 | 1.0182 |
1.2962 | 0.0604 | 400 | 1.0010 |
1.4164 | 0.0680 | 450 | 0.9905 |
1.4048 | 0.0755 | 500 | 0.9889 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Model tree for lesso10/98a0e09a-cde9-4004-a032-0162d78265b7
Base model
unsloth/gemma-2-2b