---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: bertnew-newscategoryclassification-fullmodel-3
  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. -->

# bertnew-newscategoryclassification-fullmodel-3

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.

## 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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 600
- training_steps: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Class 0 Accuracy | Class 1 Accuracy | Class 2 Accuracy | Class 3 Accuracy | Class 4 Accuracy | Class 5 Accuracy | Class 6 Accuracy | Class 7 Accuracy | Class 8 Accuracy | Class 9 Accuracy | Class 10 Accuracy | Class 11 Accuracy | Class 12 Accuracy | Class 13 Accuracy | Class 14 Accuracy | Class 15 Accuracy | Class 16 Accuracy | Class 17 Accuracy | Class 18 Accuracy | Class 19 Accuracy | Class 20 Accuracy | Class 21 Accuracy | Class 22 Accuracy | Class 23 Accuracy | Class 24 Accuracy | Class 25 Accuracy | Class 26 Accuracy | Class 27 Accuracy | Class 28 Accuracy | Class 29 Accuracy | Class 30 Accuracy | Class 31 Accuracy | Class 32 Accuracy | Class 33 Accuracy | Class 34 Accuracy | Class 35 Accuracy | Class 36 Accuracy | Class 37 Accuracy | Class 38 Accuracy | Class 39 Accuracy | Class 40 Accuracy | Class 41 Accuracy | Overall Accuracy |
|:-------------:|:------:|:----:|:---------------:|:----------------:|:----------------:|:----------------:|:----------------:|:----------------:|:----------------:|:----------------:|:----------------:|:----------------:|:----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:----------------:|
| No log        | 0.0045 | 10   | 3.7525          | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.0               | 0.0               | 0.0               | 0.0               | 0.0               | 0.0               | 0.0190            | 0.0               | 0.0               | 0.0               | 0.0               | 0.0               | 0.0               | 0.9864            | 0.0               | 0.0               | 0.0               | 0.0               | 0.0               | 0.0               | 0.0               | 0.0               | 0.0               | 0.0               | 0.0               | 0.0               | 0.0               | 0.0               | 0.0               | 0.0               | 0.0               | 0.0               | 0.0237           |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1