---
license: mit
base_model: microsoft/mdeberta-v3-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: Model
  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. -->

# Model

This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6196
- F1: 0.9295

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.1769        | 1.0   | 1500  | 0.1696          | 0.9397 |
| 0.105         | 2.0   | 3000  | 0.1966          | 0.9324 |
| 0.0614        | 3.0   | 4500  | 0.3216          | 0.9178 |
| 0.0327        | 4.0   | 6000  | 0.5325          | 0.9226 |
| 0.0203        | 5.0   | 7500  | 0.7042          | 0.9025 |
| 0.0104        | 6.0   | 9000  | 0.5079          | 0.9277 |
| 0.0045        | 7.0   | 10500 | 0.6219          | 0.9267 |
| 0.0011        | 8.0   | 12000 | 0.6196          | 0.9295 |


### Framework versions

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