---
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: 6.0191
- Accuracy: 0.1528

## 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
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 1024
- total_eval_batch_size: 32
- 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: 2000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 133.1257      | 0.05  | 100  | 7.7065          | 0.0876   |
| 107.0186      | 0.1   | 200  | 6.6099          | 0.1364   |
| 102.3462      | 0.15  | 300  | 6.3677          | 0.1448   |
| 99.0524       | 0.2   | 400  | 6.2145          | 0.1531   |
| 96.6031       | 0.25  | 500  | 6.1010          | 0.1584   |
| 95.9314       | 0.3   | 600  | 5.9869          | 0.1640   |
| 95.0101       | 0.35  | 700  | 5.8890          | 0.1683   |
| 94.2643       | 0.4   | 800  | 5.8284          | 0.1715   |
| 93.2266       | 0.45  | 900  | 5.7744          | 0.1746   |
| 92.0125       | 0.5   | 1000 | 5.7337          | 0.1763   |
| 95.8613       | 0.55  | 1100 | 6.0068          | 0.1554   |
| 98.1012       | 0.6   | 1200 | 6.1055          | 0.1491   |
| 97.152        | 0.65  | 1300 | 6.0546          | 0.1512   |
| 97.8734       | 0.7   | 1400 | 6.0947          | 0.1474   |
| 97.4964       | 0.75  | 1500 | 6.0419          | 0.1510   |
| 97.562        | 0.8   | 1600 | 6.0272          | 0.1518   |
| 97.3206       | 0.85  | 1700 | 6.0171          | 0.1529   |
| 96.8684       | 0.9   | 1800 | 6.0163          | 0.1532   |
| 96.472        | 0.95  | 1900 | 6.0193          | 0.1528   |
| 96.5051       | 1.0   | 2000 | 6.0191          | 0.1528   |


### Framework versions

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