---
license: apache-2.0
base_model: t5-large
tags:
- generated_from_trainer
model-index:
- name: occ_extractor
  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. -->
datasetsANDmodels/occupation_extraction

This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0260

## Model description

 This model extracts the cocupation's name from text. 
 
## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.0748        | 1.0   | 26   | 3.6708          |
| 1.2816        | 2.0   | 52   | 1.5886          |
| 1.422         | 3.0   | 78   | 0.7878          |
| 0.5729        | 4.0   | 104  | 0.4200          |
| 1.007         | 5.0   | 130  | 0.2706          |
| 0.2949        | 6.0   | 156  | 0.1751          |
| 0.2805        | 7.0   | 182  | 0.1193          |
| 0.1689        | 8.0   | 208  | 0.0948          |
| 0.1232        | 9.0   | 234  | 0.0717          |
| 0.0205        | 10.0  | 260  | 0.0656          |
| 0.1277        | 11.0  | 286  | 0.0600          |
| 0.0357        | 12.0  | 312  | 0.0550          |
| 0.0217        | 13.0  | 338  | 0.0469          |
| 0.0201        | 14.0  | 364  | 0.0377          |
| 0.0904        | 15.0  | 390  | 0.0320          |
| 0.0083        | 16.0  | 416  | 0.0289          |
| 0.1448        | 17.0  | 442  | 0.0284          |
| 0.2741        | 18.0  | 468  | 0.0276          |
| 0.0028        | 19.0  | 494  | 0.0261          |
| 0.015         | 20.0  | 520  | 0.0260          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.2.2
- Datasets 2.19.2
- Tokenizers 0.19.1