full parameters fine-tine model
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LLaMA-Factory badam
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Updated
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Multi-turn fine-tuning
library_name: transformers license: other base_model: clinno/eightwords-20241112 tags: - llama-factory - full - generated_from_trainer model-index: - name: sft results: []
sft
This model is a fine-tuned version of clinno/eightwords-20241112 on the identity and the eightwords-241112 datasets. It achieves the following results on the evaluation set:
- Loss: 0.9320
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 16.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7759 | 4.4608 | 1000 | 1.0107 |
| 0.554 | 8.9215 | 2000 | 0.9391 |
| 0.423 | 13.3845 | 3000 | 0.9251 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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