metadata
library_name: transformers
license: apache-2.0
base_model: uitnlp/CafeBERT
tags:
- generated_from_trainer
model-index:
- name: CafeBERT_massive_crf_v2
results: []
CafeBERT_massive_crf_v2
This model is a fine-tuned version of uitnlp/CafeBERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.5963
- Slot P: 0.0077
- Slot R: 0.0082
- Slot F1: 0.0079
- Slot Exact Match: 0.3246
- Intent Acc: 0.8751
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: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 256
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Slot P | Slot R | Slot F1 | Slot Exact Match | Intent Acc |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 45 | 15.8863 | 0.0 | 0.0 | 0.0 | 0.4088 | 0.0733 |
| 69.6998 | 2.0 | 90 | 7.8039 | 0.0080 | 0.0076 | 0.0078 | 0.3438 | 0.5032 |
| 22.3589 | 3.0 | 135 | 4.5345 | 0.0091 | 0.0100 | 0.0095 | 0.3227 | 0.7846 |
| 10.4218 | 4.0 | 180 | 4.0667 | 0.0110 | 0.0111 | 0.0111 | 0.3384 | 0.8406 |
| 6.8199 | 5.0 | 225 | 3.8871 | 0.0092 | 0.0100 | 0.0096 | 0.3261 | 0.8623 |
| 5.4068 | 6.0 | 270 | 3.9234 | 0.0106 | 0.0117 | 0.0111 | 0.3212 | 0.8633 |
| 4.2552 | 7.0 | 315 | 4.0332 | 0.0115 | 0.0129 | 0.0122 | 0.3168 | 0.8657 |
| 3.5197 | 8.0 | 360 | 4.2753 | 0.0080 | 0.0088 | 0.0084 | 0.3222 | 0.8647 |
| 2.8374 | 9.0 | 405 | 4.6031 | 0.0099 | 0.0106 | 0.0102 | 0.3256 | 0.8701 |
| 2.2784 | 10.0 | 450 | 4.7992 | 0.0118 | 0.0129 | 0.0123 | 0.3237 | 0.8652 |
| 2.2784 | 11.0 | 495 | 5.0575 | 0.0118 | 0.0129 | 0.0123 | 0.3222 | 0.8652 |
| 1.8204 | 12.0 | 540 | 5.1371 | 0.0088 | 0.0094 | 0.0091 | 0.3266 | 0.8731 |
| 1.5073 | 13.0 | 585 | 5.4768 | 0.0109 | 0.0123 | 0.0116 | 0.3133 | 0.8677 |
| 1.275 | 14.0 | 630 | 5.5963 | 0.0077 | 0.0082 | 0.0079 | 0.3246 | 0.8751 |
Framework versions
- Transformers 4.55.0
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.4