license: apache-2.0 | |
base_model: distilbert-base-uncased | |
tags: | |
- text-classification | |
- generated_from_trainer | |
metrics: | |
- accuracy | |
model-index: | |
- name: yt-title-grader | |
results: [] | |
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should probably proofread and complete it, then remove this comment. --> | |
# yt-title-grader | |
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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 | |