metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - depression-reddit-cleaned
metrics:
  - accuracy
model-index:
  - name: depression-reddit-distilroberta-base
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: depression-reddit-cleaned
          type: depression-reddit-cleaned
          config: default
          split: train
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9851325145442793

depression-reddit-distilroberta-base

This model is a fine-tuned version of distilroberta-base on the depression-reddit-cleaned dataset. It achieves the following results on the evaluation set:

Loss: 0.0951
Accuracy: 0.9851

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
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
0.1711	0.65	500	0.0821	0.9716
0.1022	1.29	1000	0.1148	0.9709
0.0595	1.94	1500	0.1178	0.9787
0.0348	2.59	2000	0.0951	0.9851

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.0
Tokenizers 0.13.3