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# financial-twhin-bert-large-3labels-test

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: -
- Accuracy: -
- F1: -

## 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: 7.899899962515037e-06
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "Twitter/twhin-bert-large", "model-index": [{"name": "financial-twhin-bert-large-3labels-test", "results": []}]}
transformers tensorboard safetensors bert text-classification generated_from_trainer base_model:Twitter/twhin-bert-large license:apache-2.0 autotrain_compatible endpoints_compatible region:us