ishwarbb23/finetuned-baseline-phase-0.0

<!-- 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. -->

finetuned-baseline-phase-0.0

This model is a fine-tuned version of valhalla/t5-small-e2e-qg on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 4.0205

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
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 42
• —gradientaccumulationsteps: 16
• —totaltrainbatch_size: 64
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 20

Training results

Framework versions

• —Transformers 4.34.1
• —Pytorch 2.1.0+cu118
• —Datasets 2.14.6
• —Tokenizers 0.14.1