---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: NL_5000_41
  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. -->

# NL_5000_41

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6097
- Accuracy: 0.3351

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.2778        | 1.0   | 1010  | 4.9919          | 0.1780   |
| 1.1301        | 2.0   | 2020  | 4.6439          | 0.2026   |
| 1.0468        | 3.0   | 3030  | 4.3298          | 0.2399   |
| 0.9842        | 4.0   | 4040  | 4.1154          | 0.2686   |
| 0.9369        | 5.0   | 5050  | 3.9441          | 0.2893   |
| 0.9021        | 6.0   | 6060  | 3.8409          | 0.3040   |
| 0.8748        | 7.0   | 7070  | 3.7551          | 0.3148   |
| 0.851         | 8.0   | 8080  | 3.6847          | 0.3239   |
| 0.8329        | 9.0   | 9090  | 3.6329          | 0.3309   |
| 0.8156        | 10.0  | 10100 | 3.6097          | 0.3351   |


### Framework versions

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