t5-small-finetuned-amazon-en-fr

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 2.9766
• eval_rouge1: 0.1418
• eval_rouge2: 0.0716
• eval_rougeL: 0.1369
• eval_rougeLsum: 0.1383
• eval_runtime: 5.36
• eval_samples_per_second: 52.426
• eval_steps_per_second: 6.716
• epoch: 2.0
• step: 2798

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: 5.6e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Framework versions

• Transformers 4.22.1
• Pytorch 1.12.1+cu102
• Datasets 2.9.0
• Tokenizers 0.12.1