Edit model card

t5-small-enterpret-finetuned

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

  • Loss: 2.3499
  • Rouge1: 0.3212
  • Rouge2: 0.1859
  • Rougel: 0.2925
  • Rougelsum: 0.2931
  • Gen Len: 18.4938

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: 4

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
No log 1.0 242 2.6522 0.2714 0.1292 0.2426 0.2432 18.0289
No log 2.0 484 2.4516 0.3076 0.1712 0.2799 0.2804 18.4618
2.9667 3.0 726 2.3734 0.3172 0.1827 0.2891 0.2897 18.4659
2.9667 4.0 968 2.3499 0.3212 0.1859 0.2925 0.2931 18.4938

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3
Downloads last month
5
Inference API
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.

Model tree for AravindKumarRajendran/t5-small-enterpret-finetuned

Base model

google-t5/t5-small
Finetuned
this model