output
This model is a fine-tuned version of Qwen/Qwen2-1.5B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0250
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: 2e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0812 | 1.0 | 1250 | 1.0450 |
| 1.012 | 2.0 | 2500 | 1.0273 |
| 1.0175 | 3.0 | 3750 | 1.0250 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
Qwen/Qwen2-1.5B-Instruct