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t5-sst2

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metadata
library_name: transformers
license: apache-2.0
base_model: t5-small
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: t5-sst2
    results: []

t5-sst2

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

  • Loss: 0.2725
  • Accuracy: 0.9014

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.2778 1.0 2105 0.2721 0.8899
0.2401 2.0 4210 0.2660 0.8979
0.2173 3.0 6315 0.2661 0.8956
0.2081 4.0 8420 0.2701 0.8979
0.2123 5.0 10525 0.2725 0.9014

Framework versions

  • Transformers 4.45.1
  • Pytorch 2.4.0
  • Datasets 3.0.1
  • Tokenizers 0.20.0