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---
base_model: microsoft/trocr-large-handwritten
library_name: peft
metrics:
- wer
tags:
- generated_from_trainer
model-index:
- name: output
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# output
This model is a fine-tuned version of [microsoft/trocr-large-handwritten](https://huggingface.co/microsoft/trocr-large-handwritten) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2610
- Wer: 0.5593
## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 1000
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 3.0289 | 0.2561 | 500 | 2.4179 | 0.5862 |
| 2.7336 | 0.5122 | 1000 | 2.2610 | 0.5593 |
### Framework versions
- PEFT 0.11.1
- Transformers 4.44.2
- Pytorch 2.5.1+cu124
- Datasets 2.20.0
- Tokenizers 0.19.1