b3ecbb10-1e94-47cd-b9bb-1c5729bfe9cf
This model is a fine-tuned version of Qwen/Qwen2-1.5B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8190
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: 0.00010017
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-5
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- training_steps: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.0356 | 0.0004 | 1 | 4.3905 |
| 1.625 | 0.0221 | 50 | 1.8929 |
| 1.7343 | 0.0443 | 100 | 1.8515 |
| 2.1999 | 0.0664 | 150 | 1.8375 |
| 1.8916 | 0.0886 | 200 | 1.8190 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Model tree for lesso/b3ecbb10-1e94-47cd-b9bb-1c5729bfe9cf
Base model
Qwen/Qwen2-1.5B-Instruct