---
library_name: transformers
license: apache-2.0
base_model: timmyAlvice/distil-bert-finetuned-sentiment-analysis
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distil-bert-finetuned-sentiment-analysis
  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. -->

# distil-bert-finetuned-sentiment-analysis

This model is a fine-tuned version of [timmyAlvice/distil-bert-finetuned-sentiment-analysis](https://huggingface.co/timmyAlvice/distil-bert-finetuned-sentiment-analysis) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1539
- Precision: 0.9573
- Recall: 0.9572
- F1: 0.9572
- Accuracy: 0.9572

## 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-06
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 254  | 0.1626          | 0.9552    | 0.9551 | 0.9551 | 0.9551   |
| 0.182         | 2.0   | 508  | 0.1510          | 0.9581    | 0.9580 | 0.9580 | 0.9580   |
| 0.182         | 3.0   | 762  | 0.1524          | 0.9580    | 0.9579 | 0.9578 | 0.9579   |
| 0.1662        | 4.0   | 1016 | 0.1528          | 0.9582    | 0.9581 | 0.9581 | 0.9581   |
| 0.1662        | 5.0   | 1270 | 0.1539          | 0.9573    | 0.9572 | 0.9572 | 0.9572   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1