Downloads · 30 days
7
12% of all-time downloads
fine-tuned-distilbert-base-uncased
hichamH/fine-tuned-distilbert-base-uncased
fine-tuned-distilbert-base-uncased is a text classification model from hichamH. 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
57
Public
Parameters
68.1M
809 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors272 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- camembert
- Access
- Public
- Created
- Nov 4, 2023
- Updated
- Nov 5, 2023
- SHA
- d9cb6b70
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. -->
fine-tuned-distilbert-base-uncased
This model is a fine-tuned version of cmarkea/distilcamembert-base-sentiment on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0005
- Accuracy: {'accuracy': 1.0}
- F1score: {'f1': 1.0}
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 85
- num_epochs: 50
Training results
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- camembert
- License
- mit
- Created
- Nov 4, 2023
- Updated
- Nov 5, 2023