T5 Small Finetuned En To Ro Epoch.04375

🚀 t5-small-finetuned-en-to-ro-epoch.04375

This model is a fine - tuned version of t5-small on the wmt16 dataset, aiming to enhance performance in sequence - to - sequence language modeling.

🚀 Quick Start

This model is a fine - tuned version of t5-small on the wmt16 dataset. It achieves the following results on the evaluation set:

• Loss: 1.4137
• Bleu: 7.3292
• Gen Len: 18.2541

📚 Documentation

Model Index

• Name: t5-small-finetuned-en-to-ro-epoch.04375
• Results:
  • Task:
    • Name: Sequence - to - sequence Language Modeling
    • Type: text2text - generation
  • Dataset:
    • Name: wmt16
    • Type: wmt16
    • Args: ro - en
  • Metrics:
    • Name: Bleu
    • Type: bleu
    • Value: 7.3292

Training and Evaluation

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: 0.04375
• mixed_precision_training: Native AMP

Training Results

Framework Versions

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

📄 License

This model is licensed under the Apache 2.0 license.