---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Distilbert-finetuned-w-teacher
  results: []
---

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

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0372
- Accuracy: 0.9319

## 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: 2e-05
- train_batch_size: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 318  | 0.4101          | 0.67     |
| 0.6452        | 2.0   | 636  | 0.1427          | 0.8442   |
| 0.6452        | 3.0   | 954  | 0.0757          | 0.8965   |
| 0.1678        | 4.0   | 1272 | 0.0545          | 0.9129   |
| 0.0852        | 5.0   | 1590 | 0.0446          | 0.9242   |
| 0.0852        | 6.0   | 1908 | 0.0401          | 0.9274   |
| 0.0652        | 7.0   | 2226 | 0.0384          | 0.9313   |
| 0.0581        | 8.0   | 2544 | 0.0372          | 0.9319   |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.15.2