metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: LKD_Experience_CV3
results: []
widget:
- text: >-
Health A father donated a kidney to save his daughter. Because of his
donation the physically active 53-yr-old man has been unable to obtain
private health insurance
example_title: Example 1
- text: >-
lastweektonight A year since John Oliver discussed kidney disease and I'm
getting ready to donate a kidney
example_title: Example 2
- text: >-
AskReddit [Serious] If you somehow found out that you were a match for a
total stranger who needed a kidney would you donate one of yours? What are
your reasons?
example_title: Example 3
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