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metadata
license: apache-2.0
base_model: t5-base
tags:
  - generated_from_trainer
datasets:
  - flores
metrics:
  - bleu
model-index:
  - name: flores_t5_base_model
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: flores
          type: flores
          config: zho_Hans-eng_Latn
          split: devtest
          args: zho_Hans-eng_Latn
        metrics:
          - name: Bleu
            type: bleu
            value: 0

flores_t5_base_model

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

  • Loss: 3.9039
  • Bleu: 0.0
  • Gen Len: 6.5
  • Exact Match: 0.0

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: 3e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.3.1+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1