---
license: apache-2.0
base_model: ViktorDo/EcoBERT-Pretrained
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: EcoBERT-finetuned-ner-S800
  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. -->

# EcoBERT-finetuned-ner-S800

This model is a fine-tuned version of [ViktorDo/EcoBERT-Pretrained](https://huggingface.co/ViktorDo/EcoBERT-Pretrained) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0830
- Precision: 0.5278
- Recall: 0.6129
- F1: 0.5672
- Accuracy: 0.9698

## 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: 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 55   | 0.1278          | 0.3136    | 0.3871 | 0.3465 | 0.9466   |
| No log        | 2.0   | 110  | 0.0904          | 0.4455    | 0.5442 | 0.4899 | 0.9657   |
| No log        | 3.0   | 165  | 0.0825          | 0.5096    | 0.6339 | 0.5650 | 0.9691   |
| No log        | 4.0   | 220  | 0.0795          | 0.5083    | 0.6003 | 0.5505 | 0.9699   |
| No log        | 5.0   | 275  | 0.0830          | 0.5278    | 0.6129 | 0.5672 | 0.9698   |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3