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metadata
library_name: transformers
base_model: Sans1807/content
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: Sans1807/content
    results: []

Sans1807/content

This model is a fine-tuned version of Sans1807/content on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0944
  • Cer: 0.0078
  • Wer: 0.0406

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: 25
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Cer Wer
0.0005 5.0761 1000 0.0714 0.0119 0.0584
0.0 10.1523 2000 0.0821 0.0115 0.0533
0.003 15.2284 3000 0.0877 0.0091 0.0381
0.0157 20.3046 4000 0.0944 0.0078 0.0406

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0
  • Datasets 2.17.0
  • Tokenizers 0.19.1