metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-uncased-finetuned-effectiveness-redditCMV
results: []
bert-base-uncased-finetuned-effectiveness-redditCMV
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6920
- Accuracy: 0.6376
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 |
|---|---|---|---|---|
| 0.6873 | 1.0 | 516 | 0.6706 | 0.5769 |
| 0.6256 | 2.0 | 1032 | 0.6424 | 0.6366 |
| 0.5197 | 3.0 | 1548 | 0.6920 | 0.6376 |
| 0.3814 | 4.0 | 2064 | 0.8641 | 0.6361 |
| 0.2589 | 5.0 | 2580 | 1.0249 | 0.6249 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2