Downloads · 30 days
4
13% of all-time downloads
training_with_callbacks
MikeGreen2710/training_with_callbacks
training_with_callbacks is a machine learning model from MikeGreen2710. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
30
Public
Parameters
136M
1.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors542 MB · 100%
At a glance
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Jul 15, 2024
- Updated
- Jul 16, 2024
- SHA
- 3b1d71ee
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. -->
training_with_callbacks
This model is a fine-tuned version of MikeGreen2710/mlm_listing_1.79 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7291
- F1: 0.9208
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: 2e-05
- train_batch_size: 24
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.3171 | 1.0 | 450 | 0.2395 | 0.9020 |
| 0.1889 | 2.0 | 900 | 0.2344 | 0.9135 |
| 0.1356 | 3.0 | 1350 | 0.3104 | 0.8986 |
| 0.0919 | 4.0 | 1800 | 0.3622 | 0.9101 |
| 0.0553 | 5.0 | 2250 | 0.4539 | 0.9085 |
| 0.0347 | 6.0 | 2700 | 0.4787 | 0.9132 |
| 0.0221 | 7.0 | 3150 | 0.5269 | 0.9084 |
| 0.0113 | 8.0 | 3600 | 0.5861 | 0.9150 |
| 0.016 | 9.0 | 4050 | 0.6784 | 0.9098 |
| 0.0079 | 10.0 | 4500 | 0.6497 | 0.9200 |
| 0.005 | 11.0 | 4950 | 0.7084 | 0.9140 |
| 0.0074 | 12.0 | 5400 | 0.7291 | 0.9208 |
| 0.0061 | 13.0 | 5850 | 0.7240 | 0.9174 |
| 0.0053 | 14.0 | 6300 | 0.7493 | 0.9149 |
| 0.004 | 15.0 | 6750 | 0.8256 | 0.9106 |
| 0.0035 | 16.0 | 7200 | 0.7821 | 0.9158 |
| 0.0054 | 17.0 | 7650 | 0.8016 | 0.9148 |
| 0.0005 | 18.0 | 8100 | 0.8021 | 0.9166 |
| 0.0012 | 19.0 | 8550 | 0.8046 | 0.9182 |
| 0.002 | 20.0 | 9000 | 0.8045 | 0.9191 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- transformers
- Type
- roberta
- Created
- Jul 15, 2024
- Updated
- Jul 16, 2024