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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: 3.9119
  • Bleu: 0.1206
  • Gen Len: 16.6875

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: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
4.9376 1.0 144 4.3320 0.1122 16.9514
4.5062 2.0 288 4.1559 0.1191 15.9653
4.3624 3.0 432 4.0699 0.1118 16.7361
4.2832 4.0 576 4.0222 0.1474 16.3125
4.2286 5.0 720 3.9854 0.1421 16.2778
4.1762 6.0 864 3.9550 0.1107 16.9583
4.14 7.0 1008 3.9386 0.1215 16.1944
4.087 8.0 1152 3.9221 0.1232 16.7153
4.0988 9.0 1296 3.9154 0.1206 16.6875
4.0738 10.0 1440 3.9119 0.1206 16.6875

Framework versions

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