---
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: 0.2960
- Accuracy: 0.9023
- F1: 0.9014

## 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: 3

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Accuracy | F1     |
|:-------------:|:------:|:-----:|:---------------:|:--------:|:------:|
| 1.0082        | 0.3272 | 1500  | 0.4766          | 0.8302   | 0.8179 |
| 0.4866        | 0.6545 | 3000  | 0.4327          | 0.8552   | 0.8395 |
| 0.4354        | 0.9817 | 4500  | 0.3823          | 0.8616   | 0.8532 |
| 0.3368        | 1.3089 | 6000  | 0.3435          | 0.8875   | 0.8787 |
| 0.3136        | 1.6361 | 7500  | 0.3266          | 0.8872   | 0.8902 |
| 0.2829        | 1.9634 | 9000  | 0.2997          | 0.8950   | 0.8939 |
| 0.246         | 2.2906 | 10500 | 0.3183          | 0.8976   | 0.8923 |
| 0.2277        | 2.6178 | 12000 | 0.3090          | 0.8994   | 0.8978 |
| 0.2173        | 2.9450 | 13500 | 0.2960          | 0.9023   | 0.9014 |


### Framework versions

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