Downloads · 30 days
0
mjSeo
weckzolo/mjSeo
mjSeo is a machine learning model from weckzolo. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated May 20, 2023
Repo size
—
Likes
0
Public
Repo makeup
Click a slice to open those files.
.ipynb1.4 MB · 99%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- May 20, 2023
- Updated
- May 20, 2023
- SHA
- e4e2e9ec
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. -->
distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.2015
- Accuracy: 0.9275
- F1: 0.9273
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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 | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.8115 | 1.0 | 250 | 0.2879 | 0.9105 | 0.9080 |
| 0.238 | 2.0 | 500 | 0.2015 | 0.9275 | 0.9273 |
Framework versions
- Transformers 4.29.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- License
- apache-2.0
- Created
- May 20, 2023
- Updated
- May 20, 2023