qwen-1.5-1.8b-sft-v0.0
This model is a fine-tuned version of Qwen/Qwen1.5-1.8B on the HuggingFaceH4/deita-6k-v0-sft dataset. It achieves the following results on the evaluation set:
- Loss: 1.0886
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: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0963 | 1.0 | 237 | 1.0788 |
| 0.9779 | 2.0 | 474 | 1.0728 |
| 0.8734 | 3.0 | 711 | 1.0886 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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Base model
Qwen/Qwen1.5-1.8B