---
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: TrainedSentiment
  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. -->

# TrainedSentiment

This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0299
- Accuracy: 0.9833

## 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 38   | 0.6023          | 0.6233   |
| No log        | 2.0   | 76   | 0.4643          | 0.7883   |
| No log        | 3.0   | 114  | 0.4152          | 0.8233   |
| No log        | 4.0   | 152  | 0.2017          | 0.93     |
| No log        | 5.0   | 190  | 0.1128          | 0.9617   |
| No log        | 6.0   | 228  | 0.0679          | 0.9767   |
| No log        | 7.0   | 266  | 0.0548          | 0.9783   |
| No log        | 8.0   | 304  | 0.0476          | 0.98     |
| No log        | 9.0   | 342  | 0.0460          | 0.9817   |
| No log        | 10.0  | 380  | 0.0414          | 0.9833   |
| No log        | 11.0  | 418  | 0.0414          | 0.9817   |
| No log        | 12.0  | 456  | 0.0387          | 0.9817   |
| No log        | 13.0  | 494  | 0.0377          | 0.9833   |
| 0.2188        | 14.0  | 532  | 0.0353          | 0.9833   |
| 0.2188        | 15.0  | 570  | 0.0329          | 0.9833   |
| 0.2188        | 16.0  | 608  | 0.0314          | 0.985    |
| 0.2188        | 17.0  | 646  | 0.0308          | 0.985    |
| 0.2188        | 18.0  | 684  | 0.0300          | 0.985    |
| 0.2188        | 19.0  | 722  | 0.0297          | 0.985    |
| 0.2188        | 20.0  | 760  | 0.0299          | 0.9833   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.3.0+cu121
- Datasets 2.12.0
- Tokenizers 0.13.2