metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: canine-c-finetuned-sst2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: sst2
metrics:
- name: Accuracy
type: accuracy
value: 0.8291284403669725
canine-c-finetuned-sst2
This model is a fine-tuned version of google/canine-c on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.6742
- Accuracy: 0.8291
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3706 | 1.0 | 4210 | 0.4550 | 0.8142 |
| 0.2491 | 2.0 | 8420 | 0.4937 | 0.8280 |
| 0.191 | 3.0 | 12630 | 0.6742 | 0.8291 |
| 0.1527 | 4.0 | 16840 | 0.7620 | 0.8211 |
| 0.1082 | 5.0 | 21050 | 0.8245 | 0.8234 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6