bded1da1-3883-4955-b37d-93166917e81f
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: 1.3584
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: 0.000213
- train_batch_size: 4
- eval_batch_size: 4
- seed: 130
- 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 | 0.0000 | 1 | 1.6351 |
1.4772 | 0.0008 | 50 | 1.4472 |
1.4191 | 0.0017 | 100 | 1.4402 |
1.3336 | 0.0025 | 150 | 1.4424 |
1.4068 | 0.0033 | 200 | 1.4276 |
1.3105 | 0.0041 | 250 | 1.4096 |
1.3745 | 0.0050 | 300 | 1.3933 |
1.3683 | 0.0058 | 350 | 1.3762 |
1.3733 | 0.0066 | 400 | 1.3655 |
1.2701 | 0.0075 | 450 | 1.3595 |
1.3175 | 0.0083 | 500 | 1.3584 |
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-2-2b