deepseek-adapters
This model is a fine-tuned version of RezolveAI/brainpowa-general-conversational-M-v1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3940
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: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.648 | 0.1647 | 200 | 0.6524 |
| 0.5732 | 0.3295 | 400 | 0.5776 |
| 0.5275 | 0.4942 | 600 | 0.5161 |
| 0.4513 | 0.6590 | 800 | 0.4645 |
| 0.4551 | 0.8237 | 1000 | 0.4198 |
| 0.4237 | 0.9885 | 1200 | 0.3940 |
Framework versions
- PEFT 0.17.1
- Transformers 4.56.2
- Pytorch 2.6.0+cu124
- Datasets 4.1.1
- Tokenizers 0.22.1
- Downloads last month
- -