demo
This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Qwen-7B on the identity dataset. It achieves the following results on the evaluation set:
- Loss: 1.2247
- Num Input Tokens Seen: 6288
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-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Use OptimizerNames.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: 2.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|---|---|---|---|---|
| 1.4175 | 1.2987 | 100 | 1.2582 | 4144 |
Framework versions
- PEFT 0.14.0
- Transformers 4.51.1
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
- Downloads last month
- 5
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support
Model tree for ls155981/my-finetuned-model
Base model
deepseek-ai/DeepSeek-R1-Distill-Qwen-7B