4a30e8ad-58f2-4002-9a0d-174afc73ce11
This model is a fine-tuned version of Qwen/Qwen2-0.5B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.7194
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: 0.000216
- train_batch_size: 4
- eval_batch_size: 4
- seed: 160
- 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 | 0.0000 | 1 | 4.5659 |
| 3.547 | 0.0023 | 50 | 3.2304 |
| 3.6314 | 0.0045 | 100 | 3.1150 |
| 3.2395 | 0.0068 | 150 | 2.9949 |
| 3.0121 | 0.0090 | 200 | 2.9217 |
| 3.0438 | 0.0113 | 250 | 2.8451 |
| 3.0897 | 0.0135 | 300 | 2.7970 |
| 3.1126 | 0.0158 | 350 | 2.7563 |
| 3.0224 | 0.0181 | 400 | 2.7324 |
| 3.2911 | 0.0203 | 450 | 2.7208 |
| 3.0585 | 0.0226 | 500 | 2.7194 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
- Downloads last month
- 7
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no pipeline_tag.