---
library_name: transformers
license: apache-2.0
base_model: distilbert/distilbert-base-cased
tags:
- generated_from_trainer
model-index:
- name: assitant_model_classification
  results: []
---

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

This model is a fine-tuned version of [distilbert/distilbert-base-cased](https://huggingface.co/distilbert/distilbert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0008

## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6274        | 1.0   | 11   | 0.4715          |
| 0.3872        | 2.0   | 22   | 0.1859          |
| 0.099         | 3.0   | 33   | 0.0306          |
| 0.0177        | 4.0   | 44   | 0.0224          |
| 0.0039        | 5.0   | 55   | 0.0024          |
| 0.0015        | 6.0   | 66   | 0.0009          |
| 0.0019        | 7.0   | 77   | 0.0009          |
| 0.0008        | 8.0   | 88   | 0.0009          |
| 0.0004        | 9.0   | 99   | 0.0008          |
| 0.0003        | 10.0  | 110  | 0.0008          |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Tokenizers 0.21.0