py_gec_mT5 / README.md
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metadata
license: apache-2.0
base_model: google/mt5-small
tags:
  - generated_from_trainer
model-index:
  - name: py_gec_mT5
    results: []

py_gec_mT5

This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3107

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
0.6261 1.0 4187 0.4256
0.4687 2.0 8374 0.3516
0.414 3.0 12561 0.3175
0.3952 4.0 16748 0.3107

Framework versions

  • Transformers 4.33.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3