Downloads · 30 days
4
13% of all-time downloads
scenario-TCR-XLMV_data-AmazonScience_massive_all_1_1_delta
haryoaw/scenario-TCR-XLMV_data-AmazonScience_massive_all_1_1_delta
scenario-TCR-XLMV_data-AmazonScience_massive_all_1_1_delta is a text classification model from haryoaw. 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
30
Public
Repo size
6.3 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin3.1 GB · 98%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Apr 2, 2024
- Updated
- Apr 2, 2024
- SHA
- f08d7577
Try a prompt
Base models
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. -->
scenario-TCR-XLMV_data-AmazonScience_massive_all_1_1_delta
This model is a fine-tuned version of facebook/xlm-v-base on the massive dataset. It achieves the following results on the evaluation set:
- Loss: 3.8343
- Accuracy: 0.0516
- F1: 0.0017
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: 32
- eval_batch_size: 32
- seed: 11213
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 500
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 3.7591 | 0.27 | 5000 | 3.7340 | 0.0644 | 0.0021 |
| 3.7519 | 0.53 | 10000 | 3.7681 | 0.0620 | 0.0020 |
| 3.7417 | 0.8 | 15000 | 3.8022 | 0.0620 | 0.0020 |
| 3.7237 | 1.07 | 20000 | 3.8134 | 0.0516 | 0.0017 |
| 3.7217 | 1.34 | 25000 | 3.8412 | 0.0516 | 0.0017 |
| 3.7172 | 1.6 | 30000 | 3.8343 | 0.0516 | 0.0017 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.1.1+cu121
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Apr 2, 2024
- Updated
- Apr 2, 2024