---
tags:
- generated_from_keras_callback
model-index:
- name: madatnlp/rob-large-krmath2
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# madatnlp/rob-large-krmath2

This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0707
- Validation Loss: 0.2571
- Epoch: 17

## 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:
- optimizer: {'name': 'SGD', 'learning_rate': 0.01, 'decay': 0.0, 'momentum': 0.9, 'nesterov': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 1.7479     | 1.5215          | 0     |
| 1.1286     | 0.7513          | 1     |
| 1.2498     | 0.9242          | 2     |
| 1.0213     | 0.7140          | 3     |
| 0.8002     | 0.6080          | 4     |
| 0.5895     | 0.3721          | 5     |
| 0.4699     | 0.3392          | 6     |
| 0.3064     | 0.2599          | 7     |
| 0.2803     | 0.2360          | 8     |
| 0.2162     | 0.3075          | 9     |
| 0.1878     | 0.2652          | 10    |
| 0.1635     | 0.1618          | 11    |
| 0.1342     | 0.1061          | 12    |
| 0.1058     | 0.2906          | 13    |
| 0.0869     | 0.3535          | 14    |
| 0.0704     | 0.2090          | 15    |
| 0.0608     | 0.1777          | 16    |
| 0.0707     | 0.2571          | 17    |


### Framework versions

- Transformers 4.19.2
- TensorFlow 2.8.2
- Datasets 2.2.2
- Tokenizers 0.12.1