Downloads · 30 days
6
25% of all-time downloads
home-batch_3_2000_-text-classification
rorschach-40/home-batch_3_2000_-text-classification
home-batch_3_2000_-text-classification is a text classification model from rorschach-40. 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
24
Public
Parameters
751M
3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors3 GB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Mar 20, 2024
- Updated
- Mar 20, 2024
- SHA
- 5ad4818d
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. -->
home-batch_3_2000_-text-classification
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4922
- Precision: 0.8654
- Recall: 0.9375
- F1: 0.9
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: 0.0003
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
|---|---|---|---|---|---|---|
| No log | 1.0 | 25 | 0.4399 | 0.8776 | 0.8958 | 0.8866 |
| No log | 2.0 | 50 | 0.4922 | 0.8654 | 0.9375 | 0.9 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- t5
- Created
- Mar 20, 2024
- Updated
- Mar 20, 2024