data2vec-text-base-finetuned-sst2
This model is a fine-tuned version of facebook/data2vec-text-base on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.3600
- Accuracy: 0.9232
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: 1.1519343408010398e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 4
- 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 |
|---|---|---|---|---|
| 0.2865 | 1.0 | 4210 | 0.2662 | 0.9128 |
| 0.2256 | 2.0 | 8420 | 0.3698 | 0.9002 |
| 0.1676 | 3.0 | 12630 | 0.3107 | 0.9186 |
| 0.1481 | 4.0 | 16840 | 0.3425 | 0.9186 |
| 0.1429 | 5.0 | 21050 | 0.3600 | 0.9232 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1
- Downloads last month
- 16
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.