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

This model is a fine-tuned version of [bobbyw/deberta-v3-large_faster_learning](https://huggingface.co/bobbyw/deberta-v3-large_faster_learning) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0945
- Accuracy: 0.0218
- F1: 0.0427
- Precision: 0.0218
- Recall: 1.0
- 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: 2e-07
- 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Rate   |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:------:|
| 0.1295        | 1.0   | 689  | 0.0971          | 0.0218   | 0.0427 | 0.0218    | 1.0    | 0.0001 |
| 0.1287        | 2.0   | 1378 | 0.0945          | 0.0218   | 0.0427 | 0.0218    | 1.0    | 0.0    |


### Framework versions

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