Downloads · 30 days
6
1% of all-time downloads
distilbert-base-uncased-finetuned-emoji
qilin1/distilbert-base-uncased-finetuned-emoji
distilbert-base-uncased-finetuned-emoji is a text classification model from qilin1. 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
436
Public
Repo size
4.6 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin268 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Feb 28, 2023
- Updated
- Mar 1, 2023
- SHA
- fd39d34c
Try a prompt
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-emoji
This model is a fine-tuned version of distilbert-base-uncased on the tweet_eval dataset. It achieves the following results on the evaluation set:
- Loss: 2.1922
- Accuracy: 0.3484
- F1: 0.2761
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: 1e-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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 2.5342 | 1.0 | 704 | 2.3446 | 0.3112 | 0.2128 |
| 2.2652 | 2.0 | 1408 | 2.2472 | 0.3302 | 0.2486 |
| 2.1517 | 3.0 | 2112 | 2.2094 | 0.3434 | 0.2636 |
| 2.0776 | 4.0 | 2816 | 2.2037 | 0.342 | 0.2681 |
| 2.0272 | 5.0 | 3520 | 2.1966 | 0.3486 | 0.2742 |
| 1.9969 | 6.0 | 4224 | 2.1922 | 0.3484 | 0.2761 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.12.1
- Datasets 2.10.0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Feb 28, 2023
- Updated
- Mar 1, 2023