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---
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
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