llama3.2-3B-added-tokens-wiki-cursor-backspace-left-right-cosine-loss-10

This model is a fine-tuned version of rocker417/llama3.2-3B-added-tokens on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.9429

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: 4e-06
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Use adamw_8bit 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: 1

Training results

Training Loss	Epoch	Step	Validation Loss
2.0531	0.2963	5000	2.0665
2.0047	0.5926	10000	1.9491
1.9042	0.8889	15000	1.9429

Framework versions

• Transformers 4.50.0
• Pytorch 2.3.0+cu118
• Datasets 2.21.0
• Tokenizers 0.21.4