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---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: correct_twitter_RoBERTa_token_itr0_1e-05_editorials_01_03_2022-15_33_51
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. -->
# correct_twitter_RoBERTa_token_itr0_1e-05_editorials_01_03_2022-15_33_51
This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base](https://huggingface.co/cardiffnlp/twitter-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1138
- Precision: 0.5788
- Recall: 0.4712
- F1: 0.5195
- Accuracy: 0.9688
## 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: 1e-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: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log | 1.0 | 15 | 0.1316 | 0.04 | 0.0021 | 0.0040 | 0.9624 |
| No log | 2.0 | 30 | 0.1016 | 0.6466 | 0.4688 | 0.5435 | 0.9767 |
| No log | 3.0 | 45 | 0.0899 | 0.5873 | 0.4625 | 0.5175 | 0.9757 |
| No log | 4.0 | 60 | 0.0849 | 0.5984 | 0.4813 | 0.5335 | 0.9761 |
| No log | 5.0 | 75 | 0.0835 | 0.5984 | 0.4813 | 0.5335 | 0.9761 |
### Framework versions
- Transformers 4.15.0
- Pytorch 1.10.1+cu113
- Datasets 1.18.0
- Tokenizers 0.10.3
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