TempReason-L1-llama3

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the EllieS/TempReason-L1 dataset. It achieves the following results on the evaluation set:

• Loss: 1.3245

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: 2
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.2771	1.0	50000	1.3245

Framework versions

• PEFT 0.7.1
• Transformers 4.40.2
• Pytorch 2.1.2+cu121
• Datasets 2.18.0
• Tokenizers 0.19.1