---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: group4_non_all_zero
  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. -->

# group4_non_all_zero

This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2820
- Precision: 0.0006
- Recall: 0.08
- F1: 0.0012
- Accuracy: 0.4380

## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 5    | 2.1670          | 0.0       | 0.0    | 0.0    | 0.0084   |
| No log        | 2.0   | 10   | 2.3289          | 0.0       | 0.0    | 0.0    | 0.0078   |
| No log        | 3.0   | 15   | 2.3316          | 0.0       | 0.0    | 0.0    | 0.0078   |
| No log        | 4.0   | 20   | 2.0441          | 0.0       | 0.0    | 0.0    | 0.0078   |
| No log        | 5.0   | 25   | 2.4322          | 0.0       | 0.0    | 0.0    | 0.0078   |
| No log        | 6.0   | 30   | 1.7898          | 0.0       | 0.0    | 0.0    | 0.0106   |
| No log        | 7.0   | 35   | 1.8590          | 0.0002    | 0.0133 | 0.0004 | 0.0104   |
| No log        | 8.0   | 40   | 1.7022          | 0.0002    | 0.0133 | 0.0004 | 0.0250   |
| No log        | 9.0   | 45   | 1.5775          | 0.0004    | 0.04   | 0.0007 | 0.1004   |
| No log        | 10.0  | 50   | 1.4837          | 0.0006    | 0.08   | 0.0011 | 0.1939   |
| No log        | 11.0  | 55   | 1.3180          | 0.0004    | 0.0533 | 0.0008 | 0.3309   |
| No log        | 12.0  | 60   | 1.3418          | 0.0005    | 0.0667 | 0.0011 | 0.3799   |
| No log        | 13.0  | 65   | 1.3140          | 0.0005    | 0.0667 | 0.0010 | 0.4117   |
| No log        | 14.0  | 70   | 1.3444          | 0.0004    | 0.0533 | 0.0008 | 0.4048   |
| No log        | 15.0  | 75   | 1.2820          | 0.0006    | 0.08   | 0.0012 | 0.4380   |


### Framework versions

- Transformers 4.30.0
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.13.3