README.md

metadata

license: apache-2.0
base_model: t5-base
tags:
  - generated_from_trainer
datasets:
  - flores
metrics:
  - bleu
model-index:
  - name: meta-flores-translation-chinese-english-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

meta-flores-translation-chinese-english-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: 3.9323
• 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: 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: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len	Exact Match
No log	1.0	4	3.9323	0.0	6.5	0.0

Framework versions

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