LawToken-1.5B-a2
This model is a fine-tuned version of Qwen/Qwen2-1.5B on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.7890
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 16
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9326 | 0.28 | 10000 | 0.9843 |
| 0.8644 | 0.56 | 20000 | 0.8726 |
| 0.7873 | 0.85 | 30000 | 0.7890 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.3.0a0+ebedce2
- Datasets 2.19.1
- Tokenizers 0.15.2
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Model tree for amy011872/LawToken-1.5B-a2
Base model
Qwen/Qwen2-1.5B