Downloads · 30 days
97
58% of all-time downloads
Self-consciousness_continuous
ajrayman/Self-consciousness_continuous
Self-consciousness_continuous is a text classification model from ajrayman. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
168
Public
Parameters
184M
13.2 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors738 MB · 98%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Aug 3, 2024
- Updated
- Sep 8, 2026
- SHA
- fb20a7a5
Try a prompt
Base models
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. -->
Self-consciousness_continuous
This model is a fine-tuned version of microsoft/deberta-v3-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0455
- Rmse: 0.2132
- Mae: 0.1700
- Corr: 0.2733
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: 32
- eval_batch_size: 32
- seed: 1234
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rmse | Mae | Corr |
|---|---|---|---|---|---|---|
| No log | 1.0 | 235 | 0.0453 | 0.2128 | 0.1720 | 0.2594 |
| No log | 2.0 | 470 | 0.0424 | 0.2058 | 0.1652 | 0.2860 |
| 0.0523 | 3.0 | 705 | 0.0439 | 0.2096 | 0.1679 | 0.2733 |
| 0.0523 | 4.0 | 940 | 0.0455 | 0.2132 | 0.1700 | 0.2733 |
Framework versions
- Transformers 4.44.1
- Pytorch 1.11.0
- Datasets 2.12.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Aug 3, 2024
- Updated
- Sep 8, 2026