---
license: apache-2.0
base_model: lyrisha/distilbert-base-finetuned-imdb-sentiment
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-finetuned-sentiment
  results: []
datasets:
 - imdb
 - nyu-mll/glue
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-finetuned-sentiment

This model is a fine-tuned version of [lyrisha/distilbert-base-finetuned-imdb-sentiment](https://huggingface.co/lyrisha/distilbert-base-finetuned-imdb-sentiment) on an imdb and GLUE SST2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3579
- Accuracy: 0.9128

## 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1715        | 1.0   | 2105 | 0.2463          | 0.9106   |
| 0.1114        | 2.0   | 4210 | 0.3239          | 0.9037   |
| 0.0755        | 3.0   | 6315 | 0.3579          | 0.9128   |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1