adhi29/mistral-lora-token-classification

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

mistral-lora-token-classification

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 1.1492
• —Precision: 0.5966
• —Recall: 0.5541
• —F1-score: 0.5686
• —Accuracy: 0.5541
• —wanb : Syncing run resilient-rain-13

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
• —trainbatchsize: 10
• —evalbatchsize: 10
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: constant
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 30
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —PEFT 0.10.0
• —Transformers 4.39.3
• —Pytorch 2.2.1+cu121
• —Datasets 2.18.0
• —Tokenizers 0.15.2