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---
tags:
- generated_from_trainer
datasets:
- Displate/category_cleaning
model-index:
- name: category_cleaning
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. -->
# category_cleaning
This model was trained from scratch on the Displate/category_cleaning dataset.
It achieves the following results on the evaluation set:
- Loss: 4.5536
## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.0173 | 0.26 | 100 | 4.2489 |
| 2.8146 | 0.51 | 200 | 4.2605 |
| 2.7177 | 0.77 | 300 | 4.2547 |
| 2.6338 | 1.02 | 400 | 4.3864 |
| 2.102 | 1.28 | 500 | 4.3538 |
| 2.1015 | 1.53 | 600 | 4.3395 |
| 2.0691 | 1.79 | 700 | 4.3363 |
| 1.9422 | 2.04 | 800 | 4.6331 |
| 1.4405 | 2.3 | 900 | 4.5653 |
| 1.3896 | 2.55 | 1000 | 4.5768 |
| 1.3735 | 2.81 | 1100 | 4.5610 |
### Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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