tranlation_model / README.md
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metadata
license: apache-2.0
base_model: google-t5/t5-small
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: tranlation_model
    results: []

tranlation_model

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

  • Loss: 1.6130
  • Bleu: 5.5571
  • Gen Len: 17.6

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: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
1.8791 1.0 6355 1.6361 5.3414 17.6238
1.8051 2.0 12710 1.6130 5.5571 17.6

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.3.1+cu118
  • Datasets 2.20.0
  • Tokenizers 0.15.0