Downloads · 30 days
4
10% of all-time downloads
finetuning-sentiment-model
my777/finetuning-sentiment-model
finetuning-sentiment-model is a text classification model from my777. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
39
Public
Parameters
67M
804 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors268 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- May 6, 2024
- Updated
- May 15, 2024
- SHA
- 373a9cb6
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. -->
finetuning-sentiment-model
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4371
- Accuracy: 0.9044
- Precision: 0.8840
- Recall: 0.9307
- F1: 0.9068
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.3023 | 1.0 | 433 | 0.2597 | 0.8945 | 0.9074 | 0.8829 | 0.8950 |
| 0.13 | 2.0 | 866 | 0.4193 | 0.8888 | 0.8592 | 0.9347 | 0.8954 |
| 0.0766 | 3.0 | 1299 | 0.5052 | 0.8911 | 0.8737 | 0.9189 | 0.8957 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- May 6, 2024
- Updated
- May 15, 2024