README.md

metadata

library_name: transformers
license: apache-2.0
base_model: muchad/idt5-base
tags:
  - generated_from_trainer
metrics:
  - rouge
  - bleu
model-index:
  - name: idt5-base-qa-qg-baseline-TydiQA-id_hl
    results: []

idt5-base-qa-qg-baseline-TydiQA-id_hl

This model is a fine-tuned version of muchad/idt5-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.1665
• Rouge1: 0.2920
• Rouge2: 0.1690
• Rougel: 0.2897
• Rougelsum: 0.2904
• Bleu: 0.1113

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Bleu
1.8154	1.0	1141	1.1665	0.2920	0.1690	0.2897	0.2904	0.1113

Framework versions

• Transformers 4.46.3
• Pytorch 2.4.0a0+f70bd71a48.nv24.06
• Datasets 3.1.0
• Tokenizers 0.20.3