Downloads · 30 days
10
21% of all-time downloads
scenario-TCR-data-glue-rte-model-bert-base-uncased
haryoaw/scenario-TCR-data-glue-rte-model-bert-base-uncased
scenario-TCR-data-glue-rte-model-bert-base-uncased 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
48
Public
Parameters
109M
876 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors438 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jan 1, 2024
- Updated
- Jan 10, 2024
- SHA
- 9a12dabd
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. -->
scenario-TCR-data-glue-rte-model-bert-base-uncased
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6164
- Accuracy: 0.6823
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: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6969
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 78 | 0.6217 | 0.6643 |
| No log | 2.0 | 156 | 0.6201 | 0.7040 |
| No log | 3.0 | 234 | 0.8062 | 0.7184 |
| No log | 4.0 | 312 | 1.0682 | 0.6787 |
| No log | 5.0 | 390 | 1.5128 | 0.6715 |
| No log | 6.0 | 468 | 1.5202 | 0.6751 |
| 0.2557 | 7.0 | 546 | 1.9066 | 0.6606 |
| 0.2557 | 8.0 | 624 | 1.6164 | 0.6823 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jan 1, 2024
- Updated
- Jan 10, 2024