---
library_name: transformers
license: apache-2.0
base_model: DerivedFunction/FinRoBERTa
tags:
- generated_from_trainer
model-index:
- name: derivative-category-classifier
  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. -->

# derivative-category-classifier

This model is a fine-tuned version of [DerivedFunction/FinRoBERTa](https://huggingface.co/DerivedFunction/FinRoBERTa) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3397

## 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: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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_ratio: 0.1
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.5975        | 0.4739 | 200  | 0.5186          |
| 0.3125        | 0.9479 | 400  | 0.3397          |


### Framework versions

- Transformers 4.57.1
- Pytorch 2.9.0+cu128
- Datasets 4.3.0
- Tokenizers 0.22.1