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---
license: apache-2.0
base_model: augmdc/bigbird_mental2019_1
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bigbird_mental2019_1_7option_3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bigbird_mental2019_1_7option_3
This model is a fine-tuned version of [augmdc/bigbird_mental2019_1](https://huggingface.co/augmdc/bigbird_mental2019_1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7045
- Accuracy: 0.3852
## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 98 | 1.8069 | 0.3673 |
| No log | 2.0 | 196 | 1.7888 | 0.2883 |
| No log | 3.0 | 294 | 1.7633 | 0.3673 |
| No log | 4.0 | 392 | 1.7045 | 0.3852 |
### Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3