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---
library_name: transformers
license: apache-2.0
base_model: google/bigbird-roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: jackmedda/google-bigbird-roberta-base_finetuned_augmented_augmented_chatgpt4
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. -->
# jackmedda/google-bigbird-roberta-base_finetuned_augmented_augmented_chatgpt4
This model is a fine-tuned version of [google/bigbird-roberta-base](https://huggingface.co/google/bigbird-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5752
- Accuracy: 0.7647
- F1: 0.8667
- Precision: 0.7647
- Recall: 1.0
## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.4353 | 1.0 | 46 | 0.6801 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.6527 | 2.0 | 92 | 0.7445 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.4771 | 3.0 | 138 | 0.6511 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.5947 | 4.0 | 184 | 0.6717 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.4429 | 5.0 | 230 | 0.8356 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.408 | 6.0 | 276 | 0.9889 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.3734 | 7.0 | 322 | 0.9383 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.4386 | 8.0 | 368 | 1.1063 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.2696 | 9.0 | 414 | 0.9658 | 0.7 | 0.8235 | 0.7 | 1.0 |
### Framework versions
- Transformers 4.48.2
- Pytorch 2.3.0+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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