README.md

metadata

license: apache-2.0
base_model: google/flan-t5-xl
tags:
  - generated_from_trainer
datasets:
  - tyzhu/squad_title_v4_train_30_eval_10_permute5
metrics:
  - f1
model-index:
  - name: tyzhu/squad_title_v4_train_30_eval_10_permute5_flan-t5-xl
    results:
      - task:
          name: Question Answering
          type: question-answering
        dataset:
          name: tyzhu/squad_title_v4_train_30_eval_10_permute5
          type: tyzhu/squad_title_v4_train_30_eval_10_permute5
        metrics:
          - name: F1
            type: f1
            value: 25.820493126944733

tyzhu/squad_title_v4_train_30_eval_10_permute5_flan-t5-xl

This model is a fine-tuned version of google/flan-t5-xl on the tyzhu/squad_title_v4_train_30_eval_10_permute5 dataset. It achieves the following results on the evaluation set:

• Exact Match: 14.0
• F1: 25.8205
• Loss: 2.8677

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: 32
• seed: 57
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 100.0

Training results

Framework versions

• Transformers 4.34.0
• Pytorch 2.1.0+cu121
• Datasets 2.14.5
• Tokenizers 0.14.1