---
base_model: bobbyw/deberta-v3-large_relationships_v3.2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: deberta-v3-large_relationships_v3.2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# deberta-v3-large_relationships_v3.2

This model is a fine-tuned version of [bobbyw/deberta-v3-large_relationships_v3.2](https://huggingface.co/bobbyw/deberta-v3-large_relationships_v3.2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0079
- Accuracy: 0.0017
- F1: 0.0020
- Precision: 0.0010
- Recall: 0.4398
- Learning Rate: 0.001

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

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall | Rate  |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|:-----:|
| 0.0022        | 1.0   | 4106  | 0.0076          | 0.0015   | 0.0022 | 0.0011    | 0.4722 | 0.001 |
| 0.0026        | 2.0   | 8212  | 0.0080          | 0.0017   | 0.0020 | 0.0010    | 0.4306 | 0.001 |
| 0.0021        | 3.0   | 12318 | 0.0079          | 0.0017   | 0.0020 | 0.0010    | 0.4398 | 0.001 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1