README.md

metadata

license: apache-2.0
base_model: google-t5/t5-small
tags:
  - generated_from_trainer
datasets:
  - wmt14
metrics:
  - bleu
model-index:
  - name: T5_model_1
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: wmt14
          type: wmt14
          config: fr-en
          split: validation
          args: fr-en
        metrics:
          - name: Bleu
            type: bleu
            value: 8.741

T5_model_1

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

• Loss: 1.4948
• Bleu: 8.741
• Gen Len: 17.974

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: 0.001
• train_batch_size: 60
• eval_batch_size: 60
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	10	1.5554	8.7554	17.9983
No log	2.0	20	1.4948	8.741	17.974

Framework versions

• Transformers 4.32.1
• Pytorch 1.12.1
• Datasets 2.18.0
• Tokenizers 0.13.2