Downloads · 30 days
24
8% of all-time downloads
hbertv1-mini-wt-48-emotion-emb-comp
gokuls/hbertv1-mini-wt-48-emotion-emb-comp
hbertv1-mini-wt-48-emotion-emb-comp 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.
should probably proofread and complete it, then remove this comment. --
All-time downloads
311
Public
Repo size
306 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin30.6 MB · 97%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- hybridbert
- Access
- Public
- Created
- Jul 21, 2023
- Updated
- Jul 21, 2023
- SHA
- 4ac4d004
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. -->
hbertv1-mini-wt-48-emotion-emb-comp
This model is a fine-tuned version of gokuls/model_v1_complete_training_wt_init_48_mini_emb_comp on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.4402
- Accuracy: 0.8805
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 |
|---|---|---|---|---|
| 1.0839 | 1.0 | 250 | 0.6587 | 0.7955 |
| 0.4815 | 2.0 | 500 | 0.4329 | 0.856 |
| 0.3295 | 3.0 | 750 | 0.3928 | 0.872 |
| 0.2582 | 4.0 | 1000 | 0.3775 | 0.866 |
| 0.21 | 5.0 | 1250 | 0.4137 | 0.8685 |
| 0.172 | 6.0 | 1500 | 0.4082 | 0.8645 |
| 0.1415 | 7.0 | 1750 | 0.4197 | 0.869 |
| 0.1153 | 8.0 | 2000 | 0.4380 | 0.872 |
| 0.0975 | 9.0 | 2250 | 0.4402 | 0.8805 |
| 0.0826 | 10.0 | 2500 | 0.4473 | 0.88 |
Framework versions
- Transformers 4.31.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- hybridbert
- Created
- Jul 21, 2023
- Updated
- Jul 21, 2023