t5-large-snli / README.md
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metadata
license: apache-2.0
base_model: t5-large
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: t5-large-snli
    results: []

t5-large-snli

This model is a fine-tuned version of t5-large on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2221
  • Accuracy: 0.9268

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: 128
  • eval_batch_size: 128
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.2842 1.0 4292 0.2240 0.9224
0.2442 2.0 8584 0.2144 0.9255
0.2234 3.0 12876 0.2221 0.9268

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0