---
library_name: peft
base_model: mistralai/Mistral-7B-v0.3
datasets:
- stanfordnlp/sst2
language:
- en
metrics:
- precision
- recall
- f1
- accuracy
pipeline_tag: text-classification
---
# trainable params: 532,480 || all params: 7,114,346,496 || trainable%: 0.007484594689046756

# train

# {'eval_loss': 0.4374200999736786, 'eval_precision': 0.9493886835371055, 'eval_recall': 0.9012145748987854, 'eval_f1-score': 0.924674605372473, 'eval_accuracy': 0.9192279138827023, 'eval_runtime': 129.0708, 'eval_samples_per_second': 104.361, 'eval_steps_per_second': 13.047, 'epoch': 5.0}    
# {'train_runtime': 3529.2784, 'train_samples_per_second': 76.331, 'train_steps_per_second': 9.542, 'train_loss': 0.3970306040961973, 'epoch': 5.0}