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---
license: mit
base_model: xlnet/xlnet-base-cased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlnet-base-cased-airlines-news-multi-label-7-actions
results: []
---
<!-- 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. -->
# xlnet-base-cased-airlines-news-multi-label-7-actions
This model is a fine-tuned version of [xlnet/xlnet-base-cased](https://huggingface.co/xlnet/xlnet-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2151
- F1: 0.9188
- Jaccard: 0.6316
## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- 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: 45
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Jaccard |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log | 1.0 | 57 | 0.4002 | 0.8330 | 0.4071 |
| No log | 2.0 | 114 | 0.3221 | 0.8443 | 0.4115 |
| No log | 3.0 | 171 | 0.2836 | 0.8703 | 0.4565 |
| No log | 4.0 | 228 | 0.2654 | 0.8731 | 0.4786 |
| No log | 5.0 | 285 | 0.2478 | 0.8825 | 0.5288 |
| No log | 6.0 | 342 | 0.2410 | 0.8925 | 0.5395 |
| No log | 7.0 | 399 | 0.2337 | 0.8990 | 0.5830 |
| No log | 8.0 | 456 | 0.2313 | 0.8997 | 0.5586 |
| 0.3113 | 9.0 | 513 | 0.2287 | 0.8974 | 0.5579 |
| 0.3113 | 10.0 | 570 | 0.2242 | 0.9037 | 0.6080 |
| 0.3113 | 11.0 | 627 | 0.2215 | 0.9036 | 0.5911 |
| 0.3113 | 12.0 | 684 | 0.2209 | 0.9072 | 0.5977 |
| 0.3113 | 13.0 | 741 | 0.2192 | 0.9093 | 0.6169 |
| 0.3113 | 14.0 | 798 | 0.2193 | 0.9076 | 0.6125 |
| 0.3113 | 15.0 | 855 | 0.2206 | 0.9067 | 0.6257 |
| 0.3113 | 16.0 | 912 | 0.2166 | 0.9121 | 0.6265 |
| 0.3113 | 17.0 | 969 | 0.2151 | 0.9188 | 0.6316 |
| 0.2282 | 18.0 | 1026 | 0.2143 | 0.9107 | 0.6279 |
| 0.2282 | 19.0 | 1083 | 0.2132 | 0.9105 | 0.6346 |
| 0.2282 | 20.0 | 1140 | 0.2132 | 0.9106 | 0.6279 |
| 0.2282 | 21.0 | 1197 | 0.2174 | 0.9122 | 0.6243 |
| 0.2282 | 22.0 | 1254 | 0.2161 | 0.9139 | 0.6221 |
| 0.2282 | 23.0 | 1311 | 0.2127 | 0.9119 | 0.6287 |
| 0.2282 | 24.0 | 1368 | 0.2129 | 0.9119 | 0.6353 |
| 0.2282 | 25.0 | 1425 | 0.2112 | 0.9147 | 0.6324 |
| 0.2282 | 26.0 | 1482 | 0.2122 | 0.9129 | 0.6386 |
| 0.2142 | 27.0 | 1539 | 0.2126 | 0.9146 | 0.6272 |
| 0.2142 | 28.0 | 1596 | 0.2114 | 0.9144 | 0.6331 |
| 0.2142 | 29.0 | 1653 | 0.2109 | 0.9159 | 0.6434 |
| 0.2142 | 30.0 | 1710 | 0.2102 | 0.9165 | 0.6479 |
| 0.2142 | 31.0 | 1767 | 0.2120 | 0.9114 | 0.6397 |
| 0.2142 | 32.0 | 1824 | 0.2110 | 0.9125 | 0.6405 |
| 0.2142 | 33.0 | 1881 | 0.2111 | 0.9093 | 0.625 |
| 0.2142 | 34.0 | 1938 | 0.2110 | 0.9109 | 0.6243 |
| 0.2142 | 35.0 | 1995 | 0.2111 | 0.9110 | 0.6324 |
| 0.2084 | 36.0 | 2052 | 0.2127 | 0.9141 | 0.6394 |
| 0.2084 | 37.0 | 2109 | 0.2112 | 0.9098 | 0.6265 |
| 0.2084 | 38.0 | 2166 | 0.2109 | 0.9112 | 0.6309 |
| 0.2084 | 39.0 | 2223 | 0.2109 | 0.9137 | 0.6405 |
| 0.2084 | 40.0 | 2280 | 0.2111 | 0.9122 | 0.6346 |
| 0.2084 | 41.0 | 2337 | 0.2111 | 0.9111 | 0.6368 |
| 0.2084 | 42.0 | 2394 | 0.2113 | 0.9099 | 0.6279 |
| 0.2084 | 43.0 | 2451 | 0.2112 | 0.9105 | 0.6324 |
| 0.2054 | 44.0 | 2508 | 0.2111 | 0.9105 | 0.6287 |
| 0.2054 | 45.0 | 2565 | 0.2110 | 0.9089 | 0.6221 |
### Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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