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---
library_name: transformers
license: apache-2.0
base_model: DanSarm/receipt-core-model
tags:
- generated_from_trainer
model-index:
- name: receipt-operations-model
  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. -->

# receipt-operations-model

This model is a fine-tuned version of [DanSarm/receipt-core-model](https://huggingface.co/DanSarm/receipt-core-model) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0971

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 300

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3532        | 1.0   | 29   | 0.2037          |
| 0.1308        | 2.0   | 58   | 0.1489          |
| 0.0937        | 3.0   | 87   | 0.1171          |
| 0.073         | 4.0   | 116  | 0.1048          |
| 0.0555        | 5.0   | 145  | 0.1018          |
| 0.0498        | 6.0   | 174  | 0.1001          |
| 0.0377        | 7.0   | 203  | 0.1025          |
| 0.0305        | 8.0   | 232  | 0.1047          |
| 0.0277        | 9.0   | 261  | 0.0971          |
| 0.0258        | 10.0  | 290  | 0.0977          |
| 0.0199        | 11.0  | 319  | 0.0978          |
| 0.0184        | 12.0  | 348  | 0.1008          |
| 0.0144        | 13.0  | 377  | 0.1051          |
| 0.0129        | 14.0  | 406  | 0.1076          |
| 0.0139        | 15.0  | 435  | 0.1072          |
| 0.0123        | 16.0  | 464  | 0.1100          |
| 0.0108        | 17.0  | 493  | 0.1086          |
| 0.0087        | 18.0  | 522  | 0.1124          |
| 0.0081        | 19.0  | 551  | 0.1212          |
| 0.0069        | 20.0  | 580  | 0.1219          |
| 0.0063        | 21.0  | 609  | 0.1131          |
| 0.004         | 22.0  | 638  | 0.1173          |
| 0.0053        | 23.0  | 667  | 0.1175          |
| 0.0058        | 24.0  | 696  | 0.1228          |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1