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

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: 0.0731
- Precision: 0.6213
- Recall: 0.6754
- F1: 0.6472
- Accuracy: 0.9761

## 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   | 63   | 0.1220          | 0.3423    | 0.3681 | 0.3547 | 0.9567   |
| No log        | 2.0   | 126  | 0.0837          | 0.5305    | 0.5797 | 0.5540 | 0.9714   |
| No log        | 3.0   | 189  | 0.0751          | 0.5950    | 0.6261 | 0.6102 | 0.9749   |
| No log        | 4.0   | 252  | 0.0729          | 0.6118    | 0.6623 | 0.6360 | 0.9763   |
| No log        | 5.0   | 315  | 0.0731          | 0.6213    | 0.6754 | 0.6472 | 0.9761   |


### Framework versions

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