Downloads · 30 days
3
16% of all-time downloads
test_trainer
SamirElawady/test_trainer
test_trainer is a machine learning model from SamirElawady. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
19
Public
Parameters
108M
433 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors433 MB · 100%
At a glance
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Sep 5, 2024
- Updated
- Sep 5, 2024
- SHA
- 3e4bf564
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. -->
test_trainer
This model is a fine-tuned version of google-bert/bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0479
- Accuracy: 0.548
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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 125 | 1.5915 | 0.225 |
| No log | 2.0 | 250 | 1.3185 | 0.419 |
| No log | 3.0 | 375 | 1.0479 | 0.548 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- bert
- License
- apache-2.0
- Created
- Sep 5, 2024
- Updated
- Sep 5, 2024