---
library_name: transformers
license: cc-by-nc-4.0
base_model: FinText/FinText-Base-2023
tags:
- generated_from_trainer
model-index:
- name: KAM-finText
  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. -->

# KAM-finText

This model is a fine-tuned version of [FinText/FinText-Base-2023](https://huggingface.co/FinText/FinText-Base-2023) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5207

## 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: 20
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.5418        | 1.0   | 6520  | 0.5560          |
| 0.3904        | 2.0   | 13040 | 0.4970          |
| 0.2632        | 3.0   | 19560 | 0.5207          |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0