---
library_name: transformers
license: mit
base_model: microsoft/deberta-v3-base
tags:
- generated_from_trainer
model-index:
- name: deberta-v3-base_smcalflow_balanced-classifier
  results: []
---

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

This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0390
- F1 Micro: 0.8614
- F1 Macro: 0.1143
- Exact Match: 0.125

## 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-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 Micro | F1 Macro | Exact Match |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------:|
| 0.0858        | 1.0   | 656  | 0.0804          | 0.6547   | 0.0284   | 0.0         |
| 0.0637        | 2.0   | 1312 | 0.0592          | 0.7628   | 0.0588   | 0.0056      |
| 0.0480        | 3.0   | 1968 | 0.0460          | 0.8277   | 0.0931   | 0.0458      |
| 0.0426        | 4.0   | 2624 | 0.0408          | 0.8548   | 0.1109   | 0.125       |
| 0.0405        | 5.0   | 3280 | 0.0390          | 0.8614   | 0.1143   | 0.125       |


### Framework versions

- Transformers 5.2.0
- Pytorch 2.10.0+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2