metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model_index:
name: bert-base-uncased-finetuned-sst2-sst2-membership
bert-base-uncased-finetuned-sst2-sst2-membership
This model is a fine-tuned version of ikevin98/bert-base-uncased-finetuned-sst2 on an unkown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0396
- Accuracy: 0.7729
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|
| 0.0255 | 1.0 | 3813 | 0.0237 | 0.7140 |
| 0.0163 | 2.0 | 7626 | 0.0252 | 0.7493 |
| 0.0073 | 3.0 | 11439 | 0.0396 | 0.7729 |
| 0.0054 | 4.0 | 15252 | 0.0335 | 0.7661 |
| 0.0015 | 5.0 | 19065 | 0.0457 | 0.7669 |
Framework versions
- Transformers 4.9.2
- Pytorch 1.8.1
- Datasets 1.11.0
- Tokenizers 0.10.1