---
base_model: roberta-base
license: mit
metrics:
- f1
tags:
- generated_from_trainer
model-index:
- name: Monglish_chatbot
  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. -->

# Monglish_chatbot

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4413
- F1: 0.9286

## 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: 2e-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
- num_epochs: 25

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 2.6862        | 1.0   | 14   | 2.7000          | 0.0    |
| 2.7247        | 2.0   | 28   | 2.6786          | 0.0    |
| 2.7909        | 3.0   | 42   | 2.6144          | 0.3571 |
| 2.7791        | 4.0   | 56   | 2.3593          | 0.4286 |
| 2.0472        | 5.0   | 70   | 1.9184          | 0.5714 |
| 1.9152        | 6.0   | 84   | 1.6711          | 0.6429 |
| 1.096         | 7.0   | 98   | 1.4660          | 0.7143 |
| 0.9427        | 8.0   | 112  | 1.2447          | 0.7143 |
| 1.019         | 9.0   | 126  | 1.1048          | 0.7857 |
| 0.7788        | 10.0  | 140  | 0.9651          | 0.8571 |
| 0.6109        | 11.0  | 154  | 0.8429          | 0.9286 |
| 0.6004        | 12.0  | 168  | 0.7675          | 0.8571 |
| 0.3126        | 13.0  | 182  | 0.6817          | 0.9286 |
| 0.2096        | 14.0  | 196  | 0.6414          | 0.9286 |
| 0.3601        | 15.0  | 210  | 0.6030          | 0.9286 |
| 0.3269        | 16.0  | 224  | 0.5345          | 0.9286 |
| 0.2457        | 17.0  | 238  | 0.5132          | 0.9286 |
| 0.1686        | 18.0  | 252  | 0.4870          | 0.9286 |
| 0.0845        | 19.0  | 266  | 0.4625          | 0.9286 |
| 0.1983        | 20.0  | 280  | 0.4521          | 0.9286 |
| 0.0878        | 21.0  | 294  | 0.4449          | 0.9286 |
| 0.1363        | 22.0  | 308  | 0.4533          | 0.9286 |
| 0.1675        | 23.0  | 322  | 0.4502          | 0.9286 |
| 0.1459        | 24.0  | 336  | 0.4437          | 0.9286 |
| 0.1118        | 25.0  | 350  | 0.4413          | 0.9286 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1