SEvolve3_re_21k_tag5_progress_processed
This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the SEvolve3_re_21k_tag5_progress_processed dataset. It achieves the following results on the evaluation set:
- Loss: 0.2325
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: 5e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2647 | 0.8230 | 300 | 0.2442 |
| 0.2147 | 1.6447 | 600 | 0.2330 |
Framework versions
- Transformers 4.51.0
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1
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