14ba5ce3-4dae-473e-940f-d0321c5260fe
This model is a fine-tuned version of Qwen/Qwen2.5-7B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4964
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: 0.000201
- train_batch_size: 4
- eval_batch_size: 4
- seed: 10
- 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=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0009 | 1 | 1.9535 |
| 1.3621 | 0.0430 | 50 | 1.7688 |
| 1.4215 | 0.0859 | 100 | 1.7729 |
| 1.4809 | 0.1289 | 150 | 1.6590 |
| 1.4104 | 0.1718 | 200 | 1.7036 |
| 1.3673 | 0.2148 | 250 | 1.6296 |
| 1.3858 | 0.2577 | 300 | 1.5957 |
| 1.3269 | 0.3007 | 350 | 1.5510 |
| 1.3645 | 0.3436 | 400 | 1.5043 |
| 1.3314 | 0.3866 | 450 | 1.4994 |
| 1.2078 | 0.4296 | 500 | 1.4964 |
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 lesso01/14ba5ce3-4dae-473e-940f-d0321c5260fe
Base model
Qwen/Qwen2.5-7B