qwen2-mini
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: 1.5767
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: 8e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6194 | 0.9999 | 3554 | 1.6113 |
| 1.7475 | 2.0 | 7109 | 1.5795 |
| 1.7635 | 2.9999 | 10663 | 1.5768 |
| 1.8058 | 3.9994 | 14216 | 1.5767 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.0+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
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