---
license: mit
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: deberta-v3-base-finetuned-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. -->

# deberta-v3-base-finetuned-ner

This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1356
- Overall Precision: 0.0
- Overall Recall: 0.0
- Overall F1: 0.0
- Overall Accuracy: 0.9116
- Datasetname F1: 0.0
- Hyperparametername F1: 0.0
- Hyperparametervalue F1: 0.0
- Methodname F1: 0.0
- Metricname F1: 0.0
- Metricvalue F1: 0.0
- Taskname F1: 0.0

## 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: 0.001
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy | Datasetname F1 | Hyperparametername F1 | Hyperparametervalue F1 | Methodname F1 | Metricname F1 | Metricvalue F1 | Taskname F1 |
|:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------------:|:----------:|:----------------:|:--------------:|:---------------------:|:----------------------:|:-------------:|:-------------:|:--------------:|:-----------:|
| No log        | 1.0   | 282  | 1.2013          | 0.0               | 0.0            | 0.0        | 0.9116           | 0.0            | 0.0                   | 0.0                    | 0.0           | 0.0           | 0.0            | 0.0         |
| 0.9367        | 2.0   | 564  | 1.0731          | 0.0               | 0.0            | 0.0        | 0.9116           | 0.0            | 0.0                   | 0.0                    | 0.0           | 0.0           | 0.0            | 0.0         |
| 0.9367        | 3.0   | 846  | 1.0889          | 0.0               | 0.0            | 0.0        | 0.9116           | 0.0            | 0.0                   | 0.0                    | 0.0           | 0.0           | 0.0            | 0.0         |
| 0.9128        | 4.0   | 1128 | 1.0884          | 0.0               | 0.0            | 0.0        | 0.9116           | 0.0            | 0.0                   | 0.0                    | 0.0           | 0.0           | 0.0            | 0.0         |
| 0.9128        | 5.0   | 1410 | 1.1356          | 0.0               | 0.0            | 0.0        | 0.9116           | 0.0            | 0.0                   | 0.0                    | 0.0           | 0.0           | 0.0            | 0.0         |


### Framework versions

- Transformers 4.23.1
- Pytorch 1.12.1+cu102
- Datasets 2.6.1
- Tokenizers 0.13.1