---
license: apache-2.0
base_model: DAMO-NLP-MT/polylm-1.7b
tags:
- generated_from_trainer
model-index:
- name: polylm_1.7b_ft_alpaca_clean_dutch
  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. -->

# polylm_1.7b_ft_alpaca_clean_dutch

This model is a fine-tuned version of [DAMO-NLP-MT/polylm-1.7b](https://huggingface.co/DAMO-NLP-MT/polylm-1.7b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8483

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 64
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1248        | 0.16  | 128  | 2.1129          |
| 2.0512        | 0.33  | 256  | 2.0347          |
| 1.9983        | 0.49  | 384  | 1.9948          |
| 1.9557        | 0.66  | 512  | 1.9655          |
| 1.9583        | 0.82  | 640  | 1.9386          |
| 1.916         | 0.99  | 768  | 1.9177          |
| 1.8671        | 1.15  | 896  | 1.9019          |
| 1.8626        | 1.32  | 1024 | 1.8885          |
| 1.8321        | 1.48  | 1152 | 1.8762          |
| 1.8596        | 1.65  | 1280 | 1.8631          |
| 1.843         | 1.81  | 1408 | 1.8539          |
| 1.8333        | 1.98  | 1536 | 1.8483          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3