---
library_name: transformers
base_model: yiyanghkust/finbert-tone
tags:
- generated_from_trainer
model-index:
- name: finBERT-KAM-Classifier
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# finBERT-KAM-Classifier

This model is a fine-tuned version of [yiyanghkust/finbert-tone](https://huggingface.co/yiyanghkust/finbert-tone) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.6176
- eval_runtime: 362.8878
- eval_samples_per_second: 36.052
- eval_steps_per_second: 4.508
- epoch: 1.8812
- step: 12307

## 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-05
- 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 3

### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1