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llama-2-13b-llm-science-exam-kaggle

This model is a fine-tuned version of meta-llama/Llama-2-13b-hf on the llm-science-exam dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.5339
• eval_runtime: 1031.3967
• eval_samples_per_second: 0.194
• eval_steps_per_second: 0.097
• epoch: 0.48
• 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: 1e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 50
• num_epochs: 1

Framework versions

• Transformers 4.34.0.dev0
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.14.0