README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: t5-base-fine-tuned-for-Punctuation-Restoration
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation

t5-base-fine-tuned-for-Punctuation-Restoration

This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1097

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
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.1796	1.0	1431	0.1097

Framework versions

• Transformers 4.10.2
• Pytorch 1.9.0+cu102
• Datasets 1.11.0
• Tokenizers 0.10.3