cdp-multi-classifier-sub-classes-weighted
This model is a fine-tuned version of alex-miller/ODABert. It achieves the following results on the evaluation set:
- Loss: 0.6494
- Accuracy: 0.8423
- F1: 0.7847
- Precision: 0.7488
- Recall: 0.8243
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
---|---|---|---|---|---|---|---|
0.8824 | 1.0 | 206 | 0.9109 | 0.6793 | 0.5494 | 0.5385 | 0.5607 |
0.816 | 2.0 | 412 | 0.8348 | 0.7865 | 0.7127 | 0.6712 | 0.7597 |
0.7455 | 3.0 | 618 | 0.7694 | 0.7712 | 0.7053 | 0.64 | 0.7855 |
0.6808 | 4.0 | 824 | 0.7323 | 0.7874 | 0.7217 | 0.6638 | 0.7907 |
0.6246 | 5.0 | 1030 | 0.6920 | 0.7829 | 0.7175 | 0.6567 | 0.7907 |
0.5689 | 6.0 | 1236 | 0.6926 | 0.7874 | 0.7230 | 0.6624 | 0.7959 |
0.5237 | 7.0 | 1442 | 0.6642 | 0.8072 | 0.7476 | 0.6876 | 0.8191 |
0.4842 | 8.0 | 1648 | 0.6419 | 0.8081 | 0.7461 | 0.6925 | 0.8088 |
0.4519 | 9.0 | 1854 | 0.6498 | 0.8225 | 0.7612 | 0.7169 | 0.8114 |
0.4264 | 10.0 | 2060 | 0.6496 | 0.8315 | 0.7728 | 0.7294 | 0.8217 |
0.4078 | 11.0 | 2266 | 0.6669 | 0.8378 | 0.7800 | 0.7401 | 0.8243 |
0.398 | 12.0 | 2472 | 0.6508 | 0.8405 | 0.7828 | 0.7453 | 0.8243 |
0.3808 | 13.0 | 2678 | 0.6539 | 0.8387 | 0.7809 | 0.7419 | 0.8243 |
0.3757 | 14.0 | 2884 | 0.6497 | 0.8423 | 0.7847 | 0.7488 | 0.8243 |
0.3691 | 15.0 | 3090 | 0.6494 | 0.8423 | 0.7847 | 0.7488 | 0.8243 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Downloads last month
- 8
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for devinitorg/cdp-multi-classifier-sub-classes-weighted
Base model
google-bert/bert-base-multilingual-uncased
Finetuned
alex-miller/ODABert