metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: my_awesome_model
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: wnli
split: train[:635]
args: wnli
metrics:
- name: Accuracy
type: accuracy
value: 0.4528301886792453
my_awesome_model
This model is a fine-tuned version of gchhablani/fnet-base-finetuned-wnli on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.7032
- Accuracy: 0.4528
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 1.0 | 20 | 0.7039 | 0.4623 |
No log | 2.0 | 40 | 0.7032 | 0.4528 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3