nlg-umt5-pol / README.md
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metadata
license: apache-2.0
base_model: google/umt5-small
tags:
  - generated_from_trainer
model-index:
  - name: working
    results: []

working

This model is a fine-tuned version of google/umt5-small on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2312

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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
0.7329 1.0 2321 0.3316
0.3731 2.0 4642 0.2464
0.3269 3.0 6963 0.2312

Framework versions

  • Transformers 4.41.1
  • Pytorch 2.1.2
  • Datasets 2.19.1
  • Tokenizers 0.19.1