metadata
license: mit
tags:
- generated_from_trainer
widget:
- text: >-
I feel so low and numb, don't feel like doing anything. Just passing my
days
- text: >-
Sleep is my greatest and most comforting escape whenever I wake up these
days. The literal very first emotion I feel is just misery and reminding
myself of all my problems.
- text: >-
I went to a movie today. It was below my expectations but the day was
fine.
- text: >-
The first day of work was a little hectic but met pretty good colleagues,
we went for a team dinner party at the end of the day.
metrics:
- accuracy
model-index:
- name: finetuned-roberta-depression
results: []
finetuned-roberta-depression
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1385
- Accuracy: 0.9745
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: 3.0
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.0238 | 1.0 | 625 | 0.1385 | 0.9745 |
0.0333 | 2.0 | 1250 | 0.1385 | 0.9745 |
0.0263 | 3.0 | 1875 | 0.1385 | 0.9745 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6