---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: maestroqa-distilbert-negative-sentiment
  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. -->

# maestroqa-distilbert-negative-sentiment

This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8880
- Accuracy: 0.77

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 100  | 0.5659          | 0.73     |
| No log        | 2.0   | 200  | 0.5930          | 0.76     |
| No log        | 3.0   | 300  | 0.7645          | 0.76     |
| No log        | 4.0   | 400  | 0.8880          | 0.77     |
| 0.267         | 5.0   | 500  | 0.9724          | 0.77     |


### Framework versions

- Transformers 4.25.1
- Pytorch 2.0.0
- Datasets 2.10.1
- Tokenizers 0.13.2