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

# HybridModelScratch_

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.2920
- Accuracy: 0.2203

## 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: 0.0001
- train_batch_size: 64
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 150
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 32.0977       | 0.1   | 100  | 7.3025          | 0.1141   |
| 26.0238       | 0.2   | 200  | 6.3336          | 0.1618   |
| 24.2338       | 0.3   | 300  | 5.9560          | 0.1830   |
| 23.2729       | 0.4   | 400  | 5.7180          | 0.1967   |
| 22.5651       | 0.5   | 500  | 5.5544          | 0.2059   |
| 22.0473       | 0.6   | 600  | 5.4359          | 0.2119   |
| 21.7227       | 0.7   | 700  | 5.3620          | 0.2162   |
| 21.4768       | 0.8   | 800  | 5.3150          | 0.2189   |
| 21.3548       | 0.9   | 900  | 5.2958          | 0.2200   |
| 21.3675       | 1.0   | 1000 | 5.2920          | 0.2203   |


### Framework versions

- Transformers 4.56.0
- Pytorch 2.8.0+cu129
- Datasets 5.0.0
- Tokenizers 0.22.0