---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: outputs
  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. -->

# outputs

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: 0.8994

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 50   | 0.9325          |
| No log        | 2.0   | 100  | 0.6820          |
| No log        | 3.0   | 150  | 0.6297          |
| No log        | 4.0   | 200  | 0.7296          |
| No log        | 5.0   | 250  | 0.8239          |
| No log        | 6.0   | 300  | 0.8474          |
| No log        | 7.0   | 350  | 0.8558          |
| No log        | 8.0   | 400  | 0.8872          |
| No log        | 9.0   | 450  | 0.8950          |
| 0.2679        | 10.0  | 500  | 0.8994          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2