---
library_name: transformers
license: apache-2.0
base_model: cross-encoder/mmarco-mMiniLMv2-L12-H384-v1
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: finetuned-ce-financial-hf
  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. -->

# finetuned-ce-financial-hf

This model is a fine-tuned version of [cross-encoder/mmarco-mMiniLMv2-L12-H384-v1](https://huggingface.co/cross-encoder/mmarco-mMiniLMv2-L12-H384-v1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1054
- F1: 0.0

## 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: 8
- seed: 42
- optimizer: Use adamw_torch 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: 5040
- num_epochs: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1  |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 0.1479        | 1.0   | 1050 | 0.5664          | 0.0 |
| 0.0973        | 2.0   | 2100 | 0.3626          | 0.0 |
| 0.0867        | 3.0   | 3150 | 0.1444          | 0.0 |
| 0.0795        | 4.0   | 4200 | 0.1663          | 0.0 |
| 0.076         | 5.0   | 5250 | 0.1054          | 0.0 |
| 0.059         | 6.0   | 6300 | 0.1137          | 0.0 |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0