---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: AR_5000_41
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# AR_5000_41

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.2367
- Accuracy: 0.2736

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.4164        | 1.0   | 1016  | 5.4871          | 0.1412   |
| 1.259         | 2.0   | 2032  | 5.2153          | 0.1550   |
| 1.2097        | 3.0   | 3048  | 5.0556          | 0.1682   |
| 1.1584        | 4.0   | 4064  | 4.8088          | 0.1964   |
| 1.0942        | 5.0   | 5080  | 4.5993          | 0.2221   |
| 1.0487        | 6.0   | 6096  | 4.4708          | 0.2409   |
| 1.0156        | 7.0   | 7112  | 4.3843          | 0.2520   |
| 0.9895        | 8.0   | 8128  | 4.3157          | 0.2627   |
| 0.9678        | 9.0   | 9144  | 4.2638          | 0.2698   |
| 0.9507        | 10.0  | 10160 | 4.2367          | 0.2736   |


### Framework versions

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