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---
base_model: FinText/FinText-Base-2023
library_name: transformers
license: cc-by-nc-4.0
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: 0.7209
## 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: 4
- eval_batch_size: 4
- 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: 1.5
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.8396 | 1.0 | 13083 | 0.7284 |
| 0.5855 | 1.5000 | 19625 | 0.7209 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1
|