transformers pytorch big_bird multiple-choice generated_from_trainer base_model:augmdc/bigbird_mental2019_1 license:apache-2.0 endpoints_compatible region:us
---
license: apache-2.0
base_model: augmdc/bigbird_mental2019_1
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bigbird_mental2019_1_7option_2
  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. -->

# bigbird_mental2019_1_7option_2

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: 1.6558
- Accuracy: 0.4337

## 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   | 1.8625          | 0.2653   |
| No log        | 2.0   | 196  | 1.7002          | 0.3138   |
| No log        | 3.0   | 294  | 1.7025          | 0.4133   |
| No log        | 4.0   | 392  | 1.6558          | 0.4337   |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
