Sandiago21/llm-science-exam-zephyr-7b-kaggle

zephyr-7b-llm-science-exam

This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-alpha on the llm-science-exam dataset. It achieves the following results on the evaluation set:

• Loss: 1.3920

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

Training results

Training Loss	Epoch	Step	Validation Loss
1.8861	0.24	100	1.6360
1.6563	0.48	200	1.4566
1.5457	0.71	300	1.3980
1.4945	0.95	400	1.3920

Framework versions

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