---
license: mit
base_model: mikhail-panzo/malay_full_checkpoint
tags:
- generated_from_trainer
model-index:
- name: fil_weak_checkpoint
  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. -->

# fil_weak_checkpoint

This model is a fine-tuned version of [mikhail-panzo/malay_full_checkpoint](https://huggingface.co/mikhail-panzo/malay_full_checkpoint) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5971

## 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: 1e-07
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8731        | 6.1   | 500  | 0.7693          |
| 0.8254        | 12.2  | 1000 | 0.7411          |
| 0.7658        | 18.29 | 1500 | 0.7017          |
| 0.7163        | 24.39 | 2000 | 0.6637          |
| 0.6894        | 30.49 | 2500 | 0.6350          |
| 0.6636        | 36.59 | 3000 | 0.6143          |
| 0.6534        | 42.68 | 3500 | 0.6035          |
| 0.6485        | 48.78 | 4000 | 0.5971          |


### Framework versions

- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2