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tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: mpnet-base-articles-ner
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. -->
# mpnet-base-articles-ner
This model is a fine-tuned version of [microsoft/mpnet-base](https://huggingface.co/microsoft/mpnet-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8471
- F1: 0.7500
## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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 | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.8042 | 1.0 | 5 | 1.6278 | 0.0 |
| 1.5353 | 2.0 | 10 | 1.5332 | 0.0 |
| 1.499 | 3.0 | 15 | 1.4356 | 0.1781 |
| 1.343 | 4.0 | 20 | 1.3254 | 0.3789 |
| 1.2306 | 5.0 | 25 | 1.2572 | 0.5075 |
| 1.1427 | 6.0 | 30 | 1.1572 | 0.5700 |
| 1.0715 | 7.0 | 35 | 1.0875 | 0.6305 |
| 0.9679 | 8.0 | 40 | 1.0261 | 0.6667 |
| 0.9169 | 9.0 | 45 | 0.9924 | 0.6512 |
| 0.8447 | 10.0 | 50 | 0.9457 | 0.7137 |
| 0.8253 | 11.0 | 55 | 0.9216 | 0.7094 |
| 0.7493 | 12.0 | 60 | 0.9068 | 0.7303 |
| 0.7378 | 13.0 | 65 | 0.8896 | 0.7404 |
| 0.7039 | 14.0 | 70 | 0.8827 | 0.7398 |
| 0.7277 | 15.0 | 75 | 0.8632 | 0.7635 |
| 0.6758 | 16.0 | 80 | 0.8517 | 0.775 |
| 0.6642 | 17.0 | 85 | 0.8618 | 0.7449 |
| 0.6327 | 18.0 | 90 | 0.8522 | 0.7490 |
| 0.6238 | 19.0 | 95 | 0.8477 | 0.7500 |
| 0.6101 | 20.0 | 100 | 0.8471 | 0.7500 |
### Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.6.1
- Tokenizers 0.13.2
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