---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_segment_news_1
  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. -->

# my_segment_news_1

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: 1.3054
- Accuracy: 0.7046

## 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: 16
- eval_batch_size: 16
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 47   | 0.8568          | 0.6555   |
| No log        | 2.0   | 94   | 0.7703          | 0.7128   |
| No log        | 3.0   | 141  | 0.9174          | 0.7115   |
| No log        | 4.0   | 188  | 0.9764          | 0.7268   |
| No log        | 5.0   | 235  | 1.1855          | 0.6945   |
| No log        | 6.0   | 282  | 1.1718          | 0.7071   |
| No log        | 7.0   | 329  | 1.1631          | 0.7246   |
| No log        | 8.0   | 376  | 1.2950          | 0.7029   |
| No log        | 9.0   | 423  | 1.3254          | 0.7019   |
| No log        | 10.0  | 470  | 1.3054          | 0.7046   |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3