a3ilab-llm-uncertainty/xlam_8B_apigen_mt_llama_factory
09
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xlam8Bapigen_mt
This model is a fine-tuned version of Salesforce/Llama-xLAM-2-8b-fc-r on the apigen-mt_5k dataset.
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: 2e-05
- trainbatchsize: 1
- evalbatchsize: 8
- seed: 42
- gradientaccumulationsteps: 4
- totaltrainbatch_size: 4
- optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
- lrschedulertype: cosine
- lrschedulerwarmup_ratio: 0.05
- num_epochs: 3
Training results
Framework versions
- PEFT 0.17.1
- Transformers 4.57.1
- Pytorch 2.4.1+cu121
- Datasets 4.0.0
- Tokenizers 0.22.1