Ai-Marshal/Mistral_Sentiment_Classification_2024-06-01

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MistralSentimentClassification_2024-06-01

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2992

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: 2.5e-05
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 0.03
• —num_epochs: 5

Training results

Framework versions

• —PEFT 0.11.1
• —Transformers 4.41.2
• —Pytorch 2.3.0+cu121
• —Datasets 2.19.1
• —Tokenizers 0.19.1