---
library_name: transformers
base_model: AnhNam/Luong_modernBert_ft
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: LTER_goc_modernBert_ft
  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. -->

# LTER_goc_modernBert_ft

This model is a fine-tuned version of [AnhNam/Luong_modernBert_ft](https://huggingface.co/AnhNam/Luong_modernBert_ft) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4084
- F1: 0.8571

## 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: 5e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- 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_ratio: 0.1
- num_epochs: 7
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | F1     |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 0.1646        | 1.0    | 14   | 0.5255          | 0.5578 |
| 0.1971        | 2.0    | 28   | 0.4755          | 0.7016 |
| 0.1588        | 3.0    | 42   | 0.4503          | 0.7823 |
| 0.0806        | 4.0    | 56   | 0.4234          | 0.8571 |
| 0.0221        | 5.0    | 70   | 0.4139          | 0.8571 |
| 0.0196        | 6.0    | 84   | 0.4086          | 0.8571 |
| 0.2718        | 6.5185 | 91   | 0.4084          | 0.8571 |


### Framework versions

- Transformers 4.48.2
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0