Downloads · 30 days
4
7% of all-time downloads
distilbert-finetuning-unhealthyConv-dropout005-epochs-1
dgalik/distilbert-finetuning-unhealthyConv-dropout005-epochs-1
distilbert-finetuning-unhealthyConv-dropout005-epochs-1 is a text classification model from dgalik. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
55
Public
Repo size
804 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin268 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Sep 1, 2023
- Updated
- Sep 1, 2023
- SHA
- 14a8e617
Try a prompt
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
distilbert-finetuning-unhealthyConv-dropout005-epochs-1
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8655
- Mse: 0.8655
- Rmse: 0.9303
- Mae: 0.5884
- R2: 0.8443
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Created
- Sep 1, 2023
- Updated
- Sep 1, 2023