Downloads · 30 days
6
1% of all-time downloads
bert_base_cased_MultiClass_Sentiment_A
Ojeda01/bert_base_cased_MultiClass_Sentiment_A
bert_base_cased_MultiClass_Sentiment_A is a text classification model from Ojeda01. 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
608
Public
Repo size
7.4 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin433 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Feb 22, 2023
- Updated
- Feb 23, 2023
- SHA
- eda3e3f0
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. -->
bert_base_cased_MultiClass_Sentiment_A
This model is a fine-tuned version of HMEXBI/bert_base_cased_MultiClass on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0470
- Accuracy: 0.8093
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: 8
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 357 | 1.0515 | 0.7700 |
| 0.3375 | 2.0 | 714 | 1.0273 | 0.7854 |
| 0.1605 | 3.0 | 1071 | 1.0470 | 0.8093 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Feb 22, 2023
- Updated
- Feb 23, 2023