Downloads · 30 days
7
16% of all-time downloads
roberta-base-downstream-ecthr-b
MHGanainy/roberta-base-downstream-ecthr-b
roberta-base-downstream-ecthr-b is a text classification model from MHGanainy. 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
44
Public
Parameters
139M
4.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors556 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Aug 24, 2024
- Updated
- Aug 24, 2024
- SHA
- 8a235ace
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. -->
roberta-base-downstream-ecthr-b
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1980
- Macro-f1: 0.7336
- Micro-f1: 0.7898
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 1
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Macro-f1 | Micro-f1 |
|---|---|---|---|---|---|
| No log | 1.0 | 282 | 0.1975 | 0.6393 | 0.7408 |
| 0.1811 | 2.0 | 564 | 0.1954 | 0.6541 | 0.7559 |
| 0.1811 | 3.0 | 846 | 0.1786 | 0.7063 | 0.7833 |
| 0.1167 | 4.0 | 1128 | 0.1746 | 0.7304 | 0.7928 |
| 0.1167 | 5.0 | 1410 | 0.1818 | 0.7270 | 0.7936 |
| 0.0921 | 6.0 | 1692 | 0.1933 | 0.7235 | 0.7810 |
| 0.0921 | 7.0 | 1974 | 0.1901 | 0.7326 | 0.7852 |
| 0.0721 | 8.0 | 2256 | 0.1980 | 0.7336 | 0.7898 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Aug 24, 2024
- Updated
- Aug 24, 2024