---
license: apache-2.0
base_model: distilbert/distilbert-base-cased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: distilbert-base-cased-airlines-news-multi-label-8-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. -->

# distilbert-base-cased-airlines-news-multi-label-8-actions

This model is a fine-tuned version of [distilbert/distilbert-base-cased](https://huggingface.co/distilbert/distilbert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2141
- F1: 0.9107
- Jaccard: 0.5749

## 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: 24
- eval_batch_size: 24
- 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   | 76   | 0.4054          | 0.8583 | 0.4115  |
| No log        | 2.0   | 152  | 0.2956          | 0.8583 | 0.4115  |
| No log        | 3.0   | 228  | 0.2885          | 0.8583 | 0.4115  |
| No log        | 4.0   | 304  | 0.2807          | 0.8583 | 0.4115  |
| No log        | 5.0   | 380  | 0.2735          | 0.8583 | 0.4115  |
| No log        | 6.0   | 456  | 0.2668          | 0.8583 | 0.4115  |
| 0.3504        | 7.0   | 532  | 0.2608          | 0.8709 | 0.4159  |
| 0.3504        | 8.0   | 608  | 0.2550          | 0.8822 | 0.4226  |
| 0.3504        | 9.0   | 684  | 0.2501          | 0.8930 | 0.4403  |
| 0.3504        | 10.0  | 760  | 0.2462          | 0.8941 | 0.4779  |
| 0.3504        | 11.0  | 836  | 0.2424          | 0.8907 | 0.4712  |
| 0.3504        | 12.0  | 912  | 0.2385          | 0.8899 | 0.4757  |
| 0.3504        | 13.0  | 988  | 0.2360          | 0.8930 | 0.5144  |
| 0.2673        | 14.0  | 1064 | 0.2335          | 0.8931 | 0.5081  |
| 0.2673        | 15.0  | 1140 | 0.2321          | 0.8921 | 0.5081  |
| 0.2673        | 16.0  | 1216 | 0.2292          | 0.8964 | 0.5380  |
| 0.2673        | 17.0  | 1292 | 0.2269          | 0.8975 | 0.5291  |
| 0.2673        | 18.0  | 1368 | 0.2256          | 0.8962 | 0.5461  |
| 0.2673        | 19.0  | 1444 | 0.2240          | 0.8968 | 0.5439  |
| 0.2471        | 20.0  | 1520 | 0.2237          | 0.8973 | 0.5454  |
| 0.2471        | 21.0  | 1596 | 0.2224          | 0.8971 | 0.5350  |
| 0.2471        | 22.0  | 1672 | 0.2213          | 0.8985 | 0.5313  |
| 0.2471        | 23.0  | 1748 | 0.2191          | 0.8982 | 0.5549  |
| 0.2471        | 24.0  | 1824 | 0.2186          | 0.9072 | 0.5542  |
| 0.2471        | 25.0  | 1900 | 0.2182          | 0.8993 | 0.5542  |
| 0.2471        | 26.0  | 1976 | 0.2168          | 0.9071 | 0.5608  |
| 0.2374        | 27.0  | 2052 | 0.2162          | 0.9091 | 0.5608  |
| 0.2374        | 28.0  | 2128 | 0.2154          | 0.8998 | 0.5601  |
| 0.2374        | 29.0  | 2204 | 0.2146          | 0.9095 | 0.5608  |
| 0.2374        | 30.0  | 2280 | 0.2141          | 0.9083 | 0.5608  |
| 0.2374        | 31.0  | 2356 | 0.2141          | 0.9107 | 0.5749  |
| 0.2374        | 32.0  | 2432 | 0.2136          | 0.9103 | 0.5704  |
| 0.2325        | 33.0  | 2508 | 0.2140          | 0.9052 | 0.5542  |
| 0.2325        | 34.0  | 2584 | 0.2125          | 0.9084 | 0.5608  |
| 0.2325        | 35.0  | 2660 | 0.2118          | 0.9091 | 0.5623  |
| 0.2325        | 36.0  | 2736 | 0.2118          | 0.9092 | 0.5667  |
| 0.2325        | 37.0  | 2812 | 0.2115          | 0.9072 | 0.5608  |
| 0.2325        | 38.0  | 2888 | 0.2118          | 0.9081 | 0.5667  |
| 0.2325        | 39.0  | 2964 | 0.2110          | 0.9080 | 0.5623  |
| 0.2293        | 40.0  | 3040 | 0.2111          | 0.9092 | 0.5667  |
| 0.2293        | 41.0  | 3116 | 0.2110          | 0.9087 | 0.5667  |
| 0.2293        | 42.0  | 3192 | 0.2109          | 0.9085 | 0.5623  |
| 0.2293        | 43.0  | 3268 | 0.2108          | 0.9092 | 0.5667  |
| 0.2293        | 44.0  | 3344 | 0.2107          | 0.9085 | 0.5623  |
| 0.2293        | 45.0  | 3420 | 0.2107          | 0.9085 | 0.5623  |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1