metadata
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: []
bigbird_mental2019_1_7option_2
This model is a fine-tuned version of 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