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: 1.618

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: 3.3598
• Bleu: 1.618
• Gen Len: 17.3223

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: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
3.3627	1.0	6250	3.5122	1.2882	17.1803
3.2162	2.0	12500	3.4442	1.4329	17.2617
3.1304	3.0	18750	3.3872	1.4862	17.296
3.0832	4.0	25000	3.3648	1.5795	17.3047
3.0623	5.0	31250	3.3598	1.618	17.3223

Framework versions

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