---
library_name: transformers
base_model: blepine/modernFinBERTLarge2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: modernFinBERTo2-Large_2.0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# modernFinBERTo2-Large_2.0

This model is a fine-tuned version of [blepine/modernFinBERTLarge2](https://huggingface.co/blepine/modernFinBERTLarge2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4427
- Accuracy: 0.2905
- F1: 0.2775

## 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: 9e-06
- train_batch_size: 8
- eval_batch_size: 8
- 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_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 2.9283        | 1.0   | 744  | 2.7684          | 0.2829   | 0.2425 |
| 2.1264        | 2.0   | 1488 | 2.4368          | 0.3041   | 0.2825 |
| 1.5815        | 3.0   | 2232 | 2.4427          | 0.2905   | 0.2775 |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.5.0+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0