---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: class_stand_model
  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. -->

# class_stand_model

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6650

## 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-06
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_HF with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.9748 | 29   | 2.5157          |
| 2.5054        | 1.9916 | 59   | 2.4631          |
| 2.5054        | 2.9748 | 88   | 2.4333          |
| 2.2607        | 3.9916 | 118  | 2.4291          |
| 2.2607        | 4.9748 | 147  | 2.4790          |
| 1.8979        | 5.9916 | 177  | 2.5425          |
| 1.5637        | 6.9748 | 206  | 2.6650          |


### Framework versions

- Transformers 4.46.1
- Pytorch 2.3.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.1