Downloads · 30 days
7
3% of all-time downloads
bert_labse-finetuning-unhealthyConv-dropout005-epochs-10
Hoari/bert_labse-finetuning-unhealthyConv-dropout005-epochs-10
bert_labse-finetuning-unhealthyConv-dropout005-epochs-10 is a text classification model from Hoari. 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
209
Public
Repo size
20.7 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin1.9 GB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Sep 18, 2023
- Updated
- Sep 18, 2023
- SHA
- 2d35499e
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. -->
bert_labse-finetuning-unhealthyConv-dropout005-epochs-10
This model is a fine-tuned version of old_models/LaBSE/0_Transformer on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7820
- Mse: 0.7820
- Rmse: 0.8843
- Mae: 0.4988
- R2: 0.8587
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Mse | Rmse | Mae | R2 |
|---|---|---|---|---|---|---|---|
| 1.5159 | 1.0 | 3389 | 1.2618 | 1.2618 | 1.1233 | 0.7882 | 0.7720 |
| 1.0247 | 2.0 | 6778 | 1.1135 | 1.1135 | 1.0552 | 0.7067 | 0.7988 |
| 0.7849 | 3.0 | 10167 | 1.1353 | 1.1353 | 1.0655 | 0.7289 | 0.7949 |
| 0.6271 | 4.0 | 13556 | 0.9255 | 0.9255 | 0.9620 | 0.6331 | 0.8328 |
| 0.5029 | 5.0 | 16945 | 0.9135 | 0.9135 | 0.9558 | 0.6148 | 0.8349 |
| 0.3947 | 6.0 | 20334 | 0.8166 | 0.8166 | 0.9036 | 0.5446 | 0.8525 |
| 0.3264 | 7.0 | 23723 | 0.8280 | 0.8280 | 0.9099 | 0.5552 | 0.8504 |
| 0.2774 | 8.0 | 27112 | 0.8125 | 0.8125 | 0.9014 | 0.5408 | 0.8532 |
| 0.2245 | 9.0 | 30501 | 0.7870 | 0.7870 | 0.8871 | 0.5034 | 0.8578 |
| 0.2028 | 10.0 | 33890 | 0.7820 | 0.7820 | 0.8843 | 0.4988 | 0.8587 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Sep 18, 2023
- Updated
- Sep 18, 2023