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LKD_Experience
This model is a fine-tuned version of distilbert-base-uncased on an dataset of Reddit comments and posts related to Living Kidney Donation (LKD). This model identifies documents as either describing a personal experience with LKD, or simply sharing news like headlines and noise/nonsense. The first token/word in each document is the name of the subreddit where the post was written. It achieves the following results on the evaluation set:
- Loss: 0.1651
- Accuracy: 0.9574
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: 8
- eval_batch_size: 4
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 63 | 0.3311 | 0.8723 |
| No log | 2.0 | 126 | 0.1708 | 0.9574 |
| No log | 3.0 | 189 | 0.1651 | 0.9574 |
Framework versions
- Transformers 4.27.0
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
