metadata
license: mit
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
base_model: roberta-base
model-index:
- name: roberta-base-finetuned-cola
results: []
roberta-base-finetuned-cola
This model is a fine-tuned version of roberta-base on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.4497
- Matthews Correlation: 0.6272
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: IPU
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- total_eval_batch_size: 20
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- training precision: Mixed Precision
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.4453 | 1.0 | 133 | 0.4348 | 0.5391 |
| 0.3121 | 2.0 | 266 | 0.3938 | 0.5827 |
| 0.1149 | 3.0 | 399 | 0.4497 | 0.6272 |
| 0.1194 | 4.0 | 532 | 0.5005 | 0.6076 |
| 0.1639 | 5.0 | 665 | 0.5645 | 0.5943 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cpu
- Datasets 2.4.0
- Tokenizers 0.12.1