fine-tuned-qwen-model
This model is a fine-tuned version of HuggingFaceTB/SmolLM2-1.7B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5032
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.574 | 1.0 | 29 | 1.5634 |
| 1.1575 | 2.0 | 58 | 1.5032 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cpu
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for Scottie201/fine_tuner
Base model
HuggingFaceTB/SmolLM2-1.7B
Quantized
HuggingFaceTB/SmolLM2-1.7B-Instruct