metadata
license: mit
base_model: xlnet/xlnet-large-cased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlnet-large-cased-airlines-news-multi-label
results: []
xlnet-large-cased-airlines-news-multi-label
This model is a fine-tuned version of xlnet/xlnet-large-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2329
- F1: 0.9001
- Roc Auc: 0.6501
- Hamming: 0.9145
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: 9e-05
- 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
- lr_scheduler_warmup_steps: 150
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Hamming |
|---|---|---|---|---|---|---|
| No log | 1.0 | 128 | 0.2866 | 0.8594 | 0.5 | 0.9041 |
| No log | 2.0 | 256 | 0.2520 | 0.8955 | 0.5943 | 0.9130 |
| No log | 3.0 | 384 | 0.2431 | 0.8984 | 0.6493 | 0.9130 |
| 0.3656 | 4.0 | 512 | 0.2384 | 0.8984 | 0.6622 | 0.9115 |
| 0.3656 | 5.0 | 640 | 0.2329 | 0.9001 | 0.6501 | 0.9145 |
| 0.3656 | 6.0 | 768 | 0.2353 | 0.9000 | 0.6699 | 0.9130 |
| 0.3656 | 7.0 | 896 | 0.2336 | 0.8959 | 0.6735 | 0.9071 |
| 0.2788 | 8.0 | 1024 | 0.2318 | 0.8957 | 0.6606 | 0.9086 |
| 0.2788 | 9.0 | 1152 | 0.2327 | 0.8961 | 0.6606 | 0.9086 |
| 0.2788 | 10.0 | 1280 | 0.2317 | 0.8975 | 0.6545 | 0.9100 |
| 0.2788 | 11.0 | 1408 | 0.2311 | 0.8975 | 0.6545 | 0.9100 |
| 0.2659 | 12.0 | 1536 | 0.2309 | 0.8982 | 0.6554 | 0.9115 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1