meta-llama-Llama-3.2-3B-2025-03-13-checkpoints

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meta-llama-Llama-3.2-3B-2025-03-13-checkpoints

This model is a fine-tuned version of meta-llama/Llama-3.2-3B on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.4744
• eval_runtime: 944.6944
• eval_samples_per_second: 53.356
• eval_steps_per_second: 13.34
• epoch: 0.0040
• step: 200

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: 4
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 3
• mixed_precision_training: Native AMP

Framework versions

• PEFT 0.14.0
• Transformers 4.49.0
• Pytorch 2.2.0
• Datasets 3.3.2
• Tokenizers 0.21.1