Llama3.2-1B-bbc_en-e3-bs32-lr1e-4cos-wd0.1-wr0.01
This model is a fine-tuned version of meta-llama/Llama-3.2-1B on the None 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Use adafactor and the args are: No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.46.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
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Model tree for lectura/Llama3.2-1B-bbc_en-e3-bs32-lr1e-4cos-wd0.1-wr0.01
Base model
meta-llama/Llama-3.2-1B