T5 Small Finetuned En To Ro Dataset 20 Input 64

🚀 t5-small-finetuned-en-to-ro-dataset_20-input_64

This is a fine - tuned model based on t5 - small, trained on the wmt16 dataset for sequence - to - sequence language tasks.

🚀 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: 1.4335
• Bleu: 8.6652
• Gen Len: 18.2596

📚 Documentation

Model Index

• Name: t5-small-finetuned-en-to-ro-dataset_20-input_64
• 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: 8.6652

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

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.