README.md

metadata

tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: fa-t5-paraphraser
    results: []
datasets:
  - alighasemi/fa-paraphrase
language:
  - fa

fa-t5-paraphraser

This model is a fine-tuned version of alighasemi/fa-t5-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: nan
• Bleu: 0.7025
• Gen Len: 5.8813

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
0.0	1.0	55088	nan	0.7025	5.8813

Framework versions

• Transformers 4.20.1
• Pytorch 1.11.0
• Datasets 2.1.0
• Tokenizers 0.12.1