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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
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Model tree for NeuraFusionAI/meta-flores-translation-chinese-english-model

Base model

google-t5/t5-base
Finetuned
this model
Quantizations
1 model

Dataset used to train NeuraFusionAI/meta-flores-translation-chinese-english-model

Evaluation results