README.md

metadata

library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: elvish-translator-quenya-t5-small
    results: []

elvish-translator-quenya-t5-small

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

• Loss: 4.4268
• Bleu: 0.0
• Gen Len: 16.7639

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: 1
• eval_batch_size: 1
• 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
4.7866	1.0	576	4.4268	0.0	16.7639

Framework versions

• Transformers 4.44.2
• Pytorch 2.2.1+cu121
• Datasets 3.0.0
• Tokenizers 0.19.1