---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: AR_200_41
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# AR_200_41

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5234
- Accuracy: 0.5250

## 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: 0.0006
- train_batch_size: 32
- eval_batch_size: 32
- seed: 41
- 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
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5298        | 1.0   | 2845  | 1.9969          | 0.3939   |
| 0.4512        | 2.0   | 5690  | 1.8217          | 0.4384   |
| 0.4173        | 3.0   | 8535  | 1.7295          | 0.4640   |
| 0.3977        | 4.0   | 11380 | 1.6786          | 0.4796   |
| 0.3841        | 5.0   | 14225 | 1.6362          | 0.4906   |
| 0.3747        | 6.0   | 17070 | 1.6065          | 0.4991   |
| 0.3677        | 7.0   | 19915 | 1.5772          | 0.5071   |
| 0.3586        | 8.0   | 22760 | 1.5534          | 0.5143   |
| 0.3504        | 9.0   | 25605 | 1.5324          | 0.5215   |
| 0.3437        | 10.0  | 28450 | 1.5234          | 0.5250   |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1