---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: RU_5000_41
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# RU_5000_41

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6599
- Accuracy: 0.3491

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.3059        | 1.0   | 1078  | 4.9954          | 0.1736   |
| 1.1451        | 2.0   | 2156  | 4.7373          | 0.1922   |
| 1.0836        | 3.0   | 3234  | 4.4236          | 0.2366   |
| 1.0047        | 4.0   | 4312  | 4.1600          | 0.2740   |
| 0.946         | 5.0   | 5390  | 3.9872          | 0.2974   |
| 0.9072        | 6.0   | 6468  | 3.8856          | 0.3124   |
| 0.8782        | 7.0   | 7546  | 3.7939          | 0.3268   |
| 0.8536        | 8.0   | 8624  | 3.7305          | 0.3372   |
| 0.8319        | 9.0   | 9702  | 3.6857          | 0.3451   |
| 0.8148        | 10.0  | 10780 | 3.6599          | 0.3491   |


### Framework versions

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