Downloads · 30 days
7
14% of all-time downloads
bert_uncased_L-6_H-512_A-8_emotion
gokuls/bert_uncased_L-6_H-512_A-8_emotion
bert_uncased_L-6_H-512_A-8_emotion is a text classification model from gokuls. 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
50
Public
Repo size
702 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin140 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Oct 6, 2023
- Updated
- Oct 6, 2023
- SHA
- 970dabec
Try a prompt
Base models
Datasets
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_uncased_L-6_H-512_A-8_emotion
This model is a fine-tuned version of google/bert_uncased_L-6_H-512_A-8 on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.1465
- Accuracy: 0.941
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: 64
- eval_batch_size: 64
- seed: 33
- distributed_type: multi-GPU
- 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 | Accuracy |
|---|---|---|---|---|
| 0.6249 | 1.0 | 250 | 0.1965 | 0.9275 |
| 0.1782 | 2.0 | 500 | 0.1533 | 0.938 |
| 0.1245 | 3.0 | 750 | 0.1467 | 0.9365 |
| 0.0951 | 4.0 | 1000 | 0.1480 | 0.94 |
| 0.0764 | 5.0 | 1250 | 0.1465 | 0.941 |
| 0.0634 | 6.0 | 1500 | 0.1594 | 0.94 |
| 0.0422 | 7.0 | 1750 | 0.2059 | 0.935 |
| 0.0381 | 8.0 | 2000 | 0.1881 | 0.938 |
| 0.027 | 9.0 | 2250 | 0.2025 | 0.9405 |
| 0.0203 | 10.0 | 2500 | 0.2032 | 0.9375 |
Framework versions
- Transformers 4.34.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Oct 6, 2023
- Updated
- Oct 6, 2023