---
license: mit
base_model: bobbyw/deberta-v3-large_faster_learning_v2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: deberta-v3-large_faster_learning_v2
  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-large_faster_learning_v2

This model is a fine-tuned version of [bobbyw/deberta-v3-large_faster_learning_v2](https://huggingface.co/bobbyw/deberta-v3-large_faster_learning_v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0991
- Accuracy: 0.0248
- F1: 0.0238
- Precision: 0.0122
- Recall: 0.5455
- Learning Rate: 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: 1e-06
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Rate   |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:------:|
| 0.0174        | 1.0   | 689  | 0.1018          | 0.0238   | 0.0238 | 0.0122    | 0.5455 | 0.0008 |
| 0.019         | 2.0   | 1378 | 0.1014          | 0.0248   | 0.0258 | 0.0132    | 0.5909 | 0.0005 |
| 0.0182        | 3.0   | 2067 | 0.0979          | 0.0228   | 0.0238 | 0.0122    | 0.5455 | 0.0003 |
| 0.0171        | 4.0   | 2756 | 0.0991          | 0.0248   | 0.0238 | 0.0122    | 0.5455 | 0.0    |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1