Downloads · 30 days
7
13% of all-time downloads
distilgpt2-disaster-twitter-v2
JiaJiaCen/distilgpt2-disaster-twitter-v2
distilgpt2-disaster-twitter-v2 is a text classification model from JiaJiaCen. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
53
Public
Parameters
124M
1.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors498 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- gpt2
- Access
- Public
- Created
- Apr 4, 2024
- Updated
- Apr 4, 2024
- SHA
- 5147ed4d
Try a prompt
Base models
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. -->
distilgpt2-disaster-twitter-v2
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4696
- F1: 0.8120
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: 8
- eval_batch_size: 8
- 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 | F1 |
|---|---|---|---|---|
| 0.7948 | 1.0 | 762 | 0.4557 | 0.7760 |
| 0.4101 | 2.0 | 1524 | 0.4940 | 0.7901 |
| 0.342 | 3.0 | 2286 | 0.4696 | 0.8120 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- Apr 4, 2024
- Updated
- Apr 4, 2024