---
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