metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- text-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: yt-title-grader
results: []
yt-title-grader
This model is a fine-tuned version of distilbert-base-uncased on the yt_main_dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.2751
- Accuracy: 0.8945
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: 3
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.2641 | 1.0 | 5725 | 0.2751 | 0.8945 |
0.2244 | 2.0 | 11450 | 0.2852 | 0.9021 |
0.1598 | 3.0 | 17175 | 0.3307 | 0.9007 |
Framework versions
- Transformers 4.32.1
- Pytorch 1.13.1
- Datasets 2.14.4
- Tokenizers 0.13.3