dff983b4-636a-4bf1-9585-ed72950b313c
This model is a fine-tuned version of unsloth/SmolLM2-1.7B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7262
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: 0.0001001
- 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=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-5
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- training_steps: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4183 | 0.0000 | 1 | 1.0047 |
| 0.758 | 0.0025 | 50 | 0.7643 |
| 0.8411 | 0.0050 | 100 | 0.7507 |
| 0.8542 | 0.0075 | 150 | 0.7325 |
| 0.8676 | 0.0100 | 200 | 0.7262 |
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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