README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - emea
metrics:
  - bleu
model-index:
  - name: t5_small_prelim_emea_enfr
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: emea
          type: emea
          config: en-fr
          split: train
          args: en-fr
        metrics:
          - name: Bleu
            type: bleu
            value: 20.0981

t5_small_prelim_emea_enfr

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

• Loss: 0.6699
• Bleu: 20.0981
• Gen Len: 14.0674

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
0.8083	1.0	54629	0.6994	19.6965	14.0689
0.7941	2.0	109258	0.6699	20.0981	14.0674

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3