README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - wmt14
metrics:
  - bleu
model-index:
  - name: t5-small-finetuned-de-en-nofp16
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: wmt14
          type: wmt14
          args: de-en
        metrics:
          - name: Bleu
            type: bleu
            value: 9.5801

t5-small-finetuned-de-en-nofp16

This model is a fine-tuned version of t5-small on the wmt14 dataset. It achieves the following results on the evaluation set:

• Loss: 2.1460
• Bleu: 9.5801
• Gen Len: 17.333

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: 0.0002
• 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

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	188	2.1899	9.4821	17.312
No log	2.0	376	2.1986	9.5705	17.3853
1.2118	3.0	564	2.1933	9.448	17.3293
1.2118	4.0	752	2.1607	9.563	17.336
1.2118	5.0	940	2.1460	9.5801	17.333

Framework versions

• Transformers 4.12.5
• Pytorch 1.10.0+cu111
• Datasets 1.16.1
• Tokenizers 0.10.3