README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - wmt19
metrics:
  - bleu
model-index:
  - name: t5-small-finetuned-fi-to-en
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: wmt19
          type: wmt19
          args: fi-en
        metrics:
          - name: Bleu
            type: bleu
            value: 1.4028

t5-small-finetuned-fi-to-en

This model is a fine-tuned version of t5-small on the wmt19 dataset. It achieves the following results on the evaluation set:

• Loss: 3.4526
• Bleu: 1.4028
• Gen Len: 17.2763

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
3.2947	1.0	6250	3.4835	1.3506	17.2077
3.2321	2.0	12500	3.4526	1.4028	17.2763

Framework versions

• Transformers 4.12.5
• Pytorch 1.9.1
• Datasets 1.16.1
• Tokenizers 0.10.3