---
library_name: transformers
base_model: blepine/modernFinBERTLarge
tags:
- generated_from_trainer
model-index:
- name: modernFinBERTLarge2
  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. -->

# modernFinBERTLarge2

This model is a fine-tuned version of [blepine/modernFinBERTLarge](https://huggingface.co/blepine/modernFinBERTLarge) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5898

## 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-07
- train_batch_size: 4
- eval_batch_size: 4
- 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
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.7102        | 1.0   | 5364  | 2.6690          |
| 2.7277        | 2.0   | 10728 | 2.6420          |
| 2.6433        | 3.0   | 16092 | 2.5801          |
| 2.6457        | 4.0   | 21456 | 2.5898          |


### Framework versions

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