README.md

metadata

base_model: meta-llama/Llama-3.2-1B
library_name: transformers
license: llama3.2
tags:
  - generated_from_trainer
model-index:
  - name: Llama3.2-1B-bbc_en-e3-bs32-lr1e-4cos-wd0.1-wr0.01
    results: []

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