README.md

metadata

license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
metrics:
  - precision
  - recall
  - accuracy
base_model: mistralai/Mistral-7B-v0.1
model-index:
  - name: one_half_data_high_rank_v2
    results: []

one_half_data_high_rank_v2

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6564
• Precision: 0.8403
• Recall: 0.9383
• F1-score: 0.8866
• Accuracy: 0.8450

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: 0.0001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1-score	Accuracy
0.535	1.0	24544	0.6564	0.8403	0.9383	0.8866	0.8450

Framework versions

• PEFT 0.9.0
• Transformers 4.38.2
• Pytorch 2.1.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2