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metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: >-
      mt5-small-finetuned-MultiHead-230207-finetuned-MultiHead-230210-finetuned-MultiHead-230214
    results: []

mt5-small-finetuned-MultiHead-230207-finetuned-MultiHead-230210-finetuned-MultiHead-230214

This model is a fine-tuned version of Shularp/mt5-small-finetuned-MultiHead-230207-finetuned-MultiHead-230210 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.0046
  • Bleu: 17.7500

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: 3

Training results

Training Loss Epoch Step Validation Loss Bleu
2.4438 1.0 33611 2.0445 16.6555
2.3878 2.0 67222 2.0143 17.3884
2.3861 3.0 100833 2.0046 17.7500

Framework versions

  • Transformers 4.26.1
  • Pytorch 1.13.1+cu116
  • Datasets 2.9.0
  • Tokenizers 0.13.2