---
library_name: transformers
license: apache-2.0
base_model: sauc-abadal-lloret/distilbert-base-uncased-ft-imdb-mlm
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilbert-base-uncased-ft-imdb-mlm-ft-imdb-sentiment-classifier
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-uncased-ft-imdb-mlm-ft-imdb-sentiment-classifier

This model is a fine-tuned version of [sauc-abadal-lloret/distilbert-base-uncased-ft-imdb-mlm](https://huggingface.co/sauc-abadal-lloret/distilbert-base-uncased-ft-imdb-mlm) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2862
- Precision: 0.9244
- Recall: 0.9016
- F1: 0.9129
- Accuracy: 0.916

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.2988        | 1.0   | 313  | 0.2395          | 0.8938    | 0.9139 | 0.9037 | 0.905    |
| 0.1755        | 2.0   | 626  | 0.2566          | 0.9121    | 0.8934 | 0.9027 | 0.906    |
| 0.1105        | 3.0   | 939  | 0.2862          | 0.9244    | 0.9016 | 0.9129 | 0.916    |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1