---
license: apache-2.0
base_model: Twitter/twhin-bert-large
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: financial-twhin-bert-large-7labels
  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. -->

# financial-twhin-bert-large-7labels

This model is a fine-tuned version of [Twitter/twhin-bert-large](https://huggingface.co/Twitter/twhin-bert-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3040
- Accuracy: 0.8968
- F1: 0.8916

## 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: 2.1732582582331977e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 1203
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
| 0.9592        | 0.3272 | 1500 | 0.6466          | 0.7665   | 0.7503 |
| 0.4705        | 0.6545 | 3000 | 0.3785          | 0.8674   | 0.8528 |
| 0.4196        | 0.9817 | 4500 | 0.5830          | 0.7892   | 0.7775 |
| 0.3403        | 1.3089 | 6000 | 0.3683          | 0.8767   | 0.8728 |
| 0.2962        | 1.6361 | 7500 | 0.3288          | 0.8889   | 0.8904 |
| 0.272         | 1.9634 | 9000 | 0.3040          | 0.8968   | 0.8916 |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1