RichardErkhov/aditi2212_-_roberta-finetuned-ChennaiQA-final-4bits

Quantization made by Richard Erkhov.

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roberta-finetuned-ChennaiQA-final - bnb 4bits

• —Model creator: https://huggingface.co/aditi2212/
• —Original model: https://huggingface.co/aditi2212/roberta-finetuned-ChennaiQA-final/

Original model description: --- license: cc-by-4.0 base_model: deepset/roberta-base-squad2 tags:

• —generatedfromtrainer model-index:
• —name: roberta-finetuned-ChennaiQA-final results: [] ---

<!-- 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. -->

roberta-finetuned-ChennaiQA-final

This model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset.

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: 2e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 20

Training results

Framework versions

• —Transformers 4.39.3
• —Pytorch 2.2.2+cu121
• —Datasets 2.18.0
• —Tokenizers 0.15.2