---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_combined_top_2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert_combined_top_2

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0250
- Accuracy: 0.9936

## 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.0262        | 1.0   | 780  | 0.7390          | 0.6955   |
| 0.7462        | 2.0   | 1560 | 0.5070          | 0.8462   |
| 0.535         | 3.0   | 2340 | 0.2484          | 0.9295   |
| 0.3449        | 4.0   | 3120 | 0.1408          | 0.9583   |
| 0.1813        | 5.0   | 3900 | 0.1008          | 0.9840   |
| 0.1172        | 6.0   | 4680 | 0.0945          | 0.9776   |
| 0.1154        | 7.0   | 5460 | 0.0420          | 0.9872   |
| 0.0504        | 8.0   | 6240 | 0.0291          | 0.9936   |
| 0.0505        | 9.0   | 7020 | 0.0072          | 0.9968   |
| 0.0298        | 10.0  | 7800 | 0.0250          | 0.9936   |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0