miqu-70b-finetuned
This model is a fine-tuned version of sophosympatheia/Midnight-Miqu-70B-v1.0 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4736
Model description
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Intended uses & limitations
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Training and evaluation data
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Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 10.185 | 0.4444 | 500 | 2.4928 |
| 9.9474 | 0.8889 | 1000 | 2.4736 |
Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for yansong/miqu-70b-finetuned
Base model
sophosympatheia/Midnight-Miqu-70B-v1.0