ea6c6b2f-c875-47a2-90ea-7dc86bc5b5e4
This model is a fine-tuned version of unsloth/gemma-2-9b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6138
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: 0.000216
- train_batch_size: 4
- eval_batch_size: 4
- seed: 160
- 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 | 0.0001 | 1 | 1.8364 |
1.6385 | 0.0042 | 50 | 1.7288 |
1.6181 | 0.0084 | 100 | 1.7332 |
1.6262 | 0.0126 | 150 | 1.6797 |
1.7144 | 0.0168 | 200 | 1.6721 |
1.552 | 0.0210 | 250 | 1.6455 |
1.6736 | 0.0252 | 300 | 1.6350 |
1.548 | 0.0294 | 350 | 1.6261 |
1.5946 | 0.0336 | 400 | 1.6197 |
1.6499 | 0.0378 | 450 | 1.6176 |
1.5567 | 0.0420 | 500 | 1.6138 |
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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Base model
unsloth/gemma-2-9b