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LKD_Experience_CV3
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.
- Loss: 0.2443
- Accuracy: 0.9244
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: 1e-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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 48 | 0.4809 | 0.7311 |
| No log | 2.0 | 96 | 0.3551 | 0.8908 |
| No log | 3.0 | 144 | 0.2712 | 0.9244 |
| No log | 4.0 | 192 | 0.2508 | 0.9244 |
| No log | 5.0 | 240 | 0.2443 | 0.9244 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
