Edit model card

t5-base-finetuned-aeslc-test

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

  • Loss: 2.8011
  • Rouge1: 31.7262
  • Rouge2: 15.5316
  • Rougel: 31.0189
  • Rougelsum: 31.0564
  • Gen Len: 4.9822

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: 2
  • eval_batch_size: 2
  • 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 Rouge1 Rouge2 Rougel Rougelsum Gen Len
3.0395 1.0 7218 2.8011 31.7262 15.5316 31.0189 31.0564 4.9822

Framework versions

  • Transformers 4.28.1
  • Pytorch 2.0.0+cu118
  • Datasets 2.11.0
  • Tokenizers 0.13.3
Downloads last month
7
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train sohamchougule/t5-base-finetuned-aeslc-test

Evaluation results