mythomax-13b-sft-lora
This model is a fine-tuned version of Gryphe/MythoMax-L2-13b on the youndukn/ROLE_PLAY_INSTRUCT dataset. It achieves the following results on the evaluation set:
- Loss: 1.5062
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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 128
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5495 | 0.99 | 11 | 1.5062 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.15.0
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Gryphe/MythoMax-L2-13b