---
base_model: xxxxxxxxx
tags:
- generated_from_trainer
datasets:
- AmazonScience/massive
model-index:
- name: massive_indo
  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. -->

# massive_indo

This model is a fine-tuned version of [xxxxxxxxx](https://huggingface.co/xxxxxxxxx) on the massive dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1952

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.8949        | 2.08  | 100  | 4.8610          |
| 4.5401        | 4.17  | 200  | 4.5439          |
| 4.2447        | 6.25  | 300  | 4.2866          |
| 4.0005        | 8.33  | 400  | 4.0553          |
| 3.7874        | 10.42 | 500  | 3.8500          |
| 3.5807        | 12.5  | 600  | 3.6576          |
| 3.3725        | 14.58 | 700  | 3.4922          |
| 3.1977        | 16.67 | 800  | 3.3297          |
| 3.0234        | 18.75 | 900  | 3.1869          |
| 2.8863        | 20.83 | 1000 | 3.0530          |
| 2.7463        | 22.92 | 1100 | 2.9420          |
| 2.6025        | 25.0  | 1200 | 2.8200          |
| 2.4935        | 27.08 | 1300 | 2.7207          |
| 2.3695        | 29.17 | 1400 | 2.6279          |
| 2.2666        | 31.25 | 1500 | 2.5470          |
| 2.1584        | 33.33 | 1600 | 2.4736          |
| 2.0767        | 35.42 | 1700 | 2.4043          |
| 2.0374        | 37.5  | 1800 | 2.3516          |
| 1.9982        | 39.58 | 1900 | 2.3028          |
| 1.9241        | 41.67 | 2000 | 2.2679          |
| 1.8844        | 43.75 | 2100 | 2.2384          |
| 1.8488        | 45.83 | 2200 | 2.2143          |
| 1.8441        | 47.92 | 2300 | 2.1988          |
| 1.8368        | 50.0  | 2400 | 2.1952          |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3