---
base_model: cardiffnlp/twitter-roberta-base-emotion
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: nosql-identifier-roberta-base
  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. -->

# nosql-identifier-roberta-base

This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-emotion](https://huggingface.co/cardiffnlp/twitter-roberta-base-emotion) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8502
- Accuracy: 0.775

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 40   | 0.5647          | 0.825    |
| No log        | 2.0   | 80   | 0.4160          | 0.75     |
| No log        | 3.0   | 120  | 0.8697          | 0.75     |
| No log        | 4.0   | 160  | 0.7257          | 0.775    |
| No log        | 5.0   | 200  | 0.4974          | 0.875    |
| No log        | 6.0   | 240  | 0.6685          | 0.85     |
| No log        | 7.0   | 280  | 0.7686          | 0.85     |
| No log        | 8.0   | 320  | 0.7531          | 0.875    |
| No log        | 9.0   | 360  | 0.9639          | 0.8      |
| No log        | 10.0  | 400  | 0.6153          | 0.9      |
| No log        | 11.0  | 440  | 0.6570          | 0.875    |
| No log        | 12.0  | 480  | 0.7417          | 0.825    |
| 0.2644        | 13.0  | 520  | 0.8697          | 0.825    |
| 0.2644        | 14.0  | 560  | 0.8611          | 0.8      |
| 0.2644        | 15.0  | 600  | 0.8502          | 0.775    |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.11.0