LMCocktail-10.7B-v1-sft-glaive-function-calling-v2-ep1-lora
This model is a fine-tuned version of Yhyu13/LMCocktail-10.7B-v1 on the https://huggingface.co/datasets/Yhyu13/glaive-function-calling-v2-llama-factory-convert dataset, but with a subset of only the first 2000 data entries. It achieves the following results on the evaluation set:
- Loss: 0.2787
Training script is availbale at ./scripts/
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
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- total_eval_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2696 | 1.0 | 747 | 0.2787 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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