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---
license: mit
base_model: FacebookAI/roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fine_tuned_main_raid
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. -->
# fine_tuned_main_raid
This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0505
- Accuracy: 0.9905
## 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: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2402 | 0.04 | 100 | 0.1240 | 0.961 |
| 0.1607 | 0.09 | 200 | 0.1677 | 0.9765 |
| 0.1589 | 0.13 | 300 | 0.0773 | 0.983 |
| 0.0966 | 0.18 | 400 | 0.0812 | 0.986 |
| 0.0916 | 0.22 | 500 | 0.0965 | 0.9835 |
| 0.0922 | 0.27 | 600 | 0.0745 | 0.986 |
| 0.0338 | 0.31 | 700 | 0.0745 | 0.9895 |
| 0.1024 | 0.36 | 800 | 0.0807 | 0.9835 |
| 0.0984 | 0.4 | 900 | 0.1363 | 0.9805 |
| 0.0644 | 0.44 | 1000 | 0.0505 | 0.9905 |
| 0.0582 | 0.49 | 1100 | 0.1026 | 0.9835 |
| 0.038 | 0.53 | 1200 | 0.0535 | 0.992 |
| 0.0554 | 0.58 | 1300 | 0.0566 | 0.991 |
### Framework versions
- Transformers 4.36.2
- Pytorch 2.1.1+cu118
- Datasets 2.16.0
- Tokenizers 0.15.0
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