---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
model-index:
- name: amazon_sentiment_clfn
  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. -->

# amazon_sentiment_clfn

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: 0.2018
- Precision: 0.7804
- Recall: 0.6077
- F1: 0.6833

## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|
| 0.2019        | 1.0   | 9229  | 0.2018          | 0.7804    | 0.6077 | 0.6833 |
| 0.1714        | 2.0   | 18458 | 0.2170          | 0.7279    | 0.7191 | 0.7234 |
| 0.1337        | 3.0   | 27687 | 0.2890          | 0.7035    | 0.7220 | 0.7126 |
| 0.0895        | 4.0   | 36916 | 0.3820          | 0.7291    | 0.6881 | 0.7080 |
| 0.0693        | 5.0   | 46145 | 0.4428          | 0.7309    | 0.6824 | 0.7058 |


### Framework versions

- Transformers 4.55.1
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4