output
This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct on the identity and the alpaca_en_demo datasets. It achieves the following results on the evaluation set:
- Loss: 2.5144
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1080
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.193 | 4.0775 | 500 | 1.6843 |
| 0.0083 | 8.1549 | 1000 | 2.4750 |
Framework versions
- Transformers 4.45.0
- Pytorch 2.2.0+cu121
- Datasets 2.21.0
- Tokenizers 0.20.0
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