---
base_model: xxxxxxxxx
tags:
- generated_from_trainer
datasets:
- AmazonScience/massive
metrics:
- f1
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: 0.6883
- F1: 0.8201

## 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: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 2.1343        | 0.11  | 2000  | 1.7374          | 0.2664 |
| 1.2506        | 0.22  | 4000  | 1.1294          | 0.5441 |
| 0.9268        | 0.33  | 6000  | 0.8991          | 0.6547 |
| 0.7993        | 0.44  | 8000  | 0.8401          | 0.6819 |
| 0.6985        | 0.54  | 10000 | 0.7629          | 0.7245 |
| 0.6418        | 0.65  | 12000 | 0.7507          | 0.7559 |
| 0.5887        | 0.76  | 14000 | 0.6858          | 0.7796 |
| 0.5462        | 0.87  | 16000 | 0.6852          | 0.7872 |
| 0.508         | 0.98  | 18000 | 0.6731          | 0.7836 |
| 0.4222        | 1.09  | 20000 | 0.6884          | 0.7902 |
| 0.3948        | 1.2   | 22000 | 0.6809          | 0.7897 |
| 0.3947        | 1.31  | 24000 | 0.6894          | 0.7935 |
| 0.3779        | 1.42  | 26000 | 0.6702          | 0.8026 |
| 0.3488        | 1.53  | 28000 | 0.6762          | 0.7935 |
| 0.3461        | 1.63  | 30000 | 0.6737          | 0.8054 |
| 0.3372        | 1.74  | 32000 | 0.6720          | 0.8062 |
| 0.3275        | 1.85  | 34000 | 0.6526          | 0.8156 |
| 0.3224        | 1.96  | 36000 | 0.6717          | 0.8068 |
| 0.2425        | 2.07  | 38000 | 0.6810          | 0.8143 |
| 0.2423        | 2.18  | 40000 | 0.6668          | 0.8196 |
| 0.2394        | 2.29  | 42000 | 0.7014          | 0.8125 |
| 0.2247        | 2.4   | 44000 | 0.6842          | 0.8167 |
| 0.2253        | 2.51  | 46000 | 0.7012          | 0.8130 |
| 0.2225        | 2.62  | 48000 | 0.6907          | 0.8178 |
| 0.2074        | 2.72  | 50000 | 0.6814          | 0.8206 |
| 0.2095        | 2.83  | 52000 | 0.6928          | 0.8192 |
| 0.2018        | 2.94  | 54000 | 0.6883          | 0.8201 |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0