---
license: apache-2.0
base_model: alex-miller/ODABert
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: cdp-multi-classifier-weighted
  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. -->

# cdp-multi-classifier-weighted

This model is a fine-tuned version of [alex-miller/ODABert](https://huggingface.co/alex-miller/ODABert).
It achieves the following results on the evaluation set:
- Loss: 0.8564
- Accuracy: 0.9716
- F1: 0.8484
- Precision: 0.7788
- Recall: 0.9316

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-06
- 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
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:------:|:---------------:|:--------:|:------:|:---------:|:------:|
| 1.0497        | 1.0   | 11302  | 1.5640          | 0.9621   | 0.8011 | 0.7244    | 0.8958 |
| 0.9103        | 2.0   | 22604  | 1.4417          | 0.9663   | 0.8203 | 0.7522    | 0.9021 |
| 0.7629        | 3.0   | 33906  | 0.9562          | 0.9661   | 0.8235 | 0.7406    | 0.9272 |
| 0.6321        | 4.0   | 45208  | 0.9106          | 0.9697   | 0.8376 | 0.7720    | 0.9153 |
| 0.5464        | 5.0   | 56510  | 0.9811          | 0.9705   | 0.8419 | 0.7760    | 0.9200 |
| 0.5043        | 6.0   | 67812  | 0.9484          | 0.9700   | 0.8409 | 0.7677    | 0.9296 |
| 0.4647        | 7.0   | 79114  | 0.8569          | 0.9713   | 0.8465 | 0.7781    | 0.9281 |
| 0.4215        | 8.0   | 90416  | 0.8620          | 0.9703   | 0.8430 | 0.7682    | 0.9338 |
| 0.3794        | 9.0   | 101718 | 0.8569          | 0.9704   | 0.8437 | 0.7682    | 0.9357 |
| 0.344         | 10.0  | 113020 | 0.8305          | 0.9708   | 0.8448 | 0.7720    | 0.9328 |
| 0.3247        | 11.0  | 124322 | 0.7900          | 0.9707   | 0.8446 | 0.7709    | 0.9338 |
| 0.3159        | 12.0  | 135624 | 0.7838          | 0.9711   | 0.8463 | 0.7734    | 0.9344 |
| 0.3166        | 13.0  | 146926 | 0.8381          | 0.9710   | 0.8462 | 0.7727    | 0.9351 |
| 0.279         | 14.0  | 158228 | 0.8694          | 0.9718   | 0.8487 | 0.7821    | 0.9277 |
| 0.281         | 15.0  | 169530 | 0.8564          | 0.9716   | 0.8484 | 0.7788    | 0.9316 |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.0.1
- Datasets 2.19.0
- Tokenizers 0.19.1