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# 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 61K financial tweets.
It achieves the following results on the evaluation set:
- Loss: 0.7361
- Accuracy: 0.8946
- F1: 0.8969

## 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: 6.284712783126724e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results



### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
{"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["FinGPT/fingpt-sentiment-train"], "metrics": ["accuracy", "f1"], "base_model": "Twitter/twhin-bert-large", "widget": [{"text": "$KTOS: Kratos Defense and Security awarded a $39 million sole-source contract for Geolocation Global Support Service", "example_title": "Example 1"}, {"text": "$Google parent Alphabet Inc. reported revenue and earnings that fell short of analysts' expectations, showing the company's search advertising juggernaut was not immune to a slowdown in the digital ad market. The shares fell more than 6%.", "example_title": "Example 2"}, {"text": "$LJPC - La Jolla Pharma to reassess development of LJPC-401", "example_title": "Example 3"}, {"text": "Watch $MARK over 43c in after-hours for continuation targeting the 50c area initially", "example title": "Example 4"}, {"text": "$RCII: Rent-A-Center provides update - March revenues were off by about 5% versus last year", "example title": "Example 5"}], "model-index": [{"name": "financial_twhin_bert_large_7labels", "results": []}]}
transformers tensorboard safetensors bert text-classification generated_from_trainer en dataset:FinGPT/fingpt-sentiment-train base_model:Twitter/twhin-bert-large license:apache-2.0 autotrain_compatible endpoints_compatible region:us