This model is a fine-tuned version of microsoft/trocr-large-handwritten on an unknown dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.7032
eval_cer: 0.1351
eval_wer: 0.4206
eval_cer_case_insensitive: 0.1140
eval_wer_case_insensitive: 0.3465
eval_runtime: 327.1438
eval_samples_per_second: 2.559
eval_steps_per_second: 0.642
epoch: 1.5707
step: 2100
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: 1e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
