---
license: apache-2.0
base_model: DAMO-NLP-MT/polylm-13b-fine-grained-shards
tags:
- generated_from_trainer
model-index:
- name: polylm_13b_ft_alpaca_clean_dutch
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# polylm_13b_ft_alpaca_clean_dutch

This model is a fine-tuned version of [DAMO-NLP-MT/polylm-13b-fine-grained-shards](https://huggingface.co/DAMO-NLP-MT/polylm-13b-fine-grained-shards) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3839

## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4626        | 0.16  | 128  | 1.4613          |
| 1.4027        | 0.33  | 256  | 1.4235          |
| 1.4002        | 0.49  | 384  | 1.4054          |
| 1.3857        | 0.66  | 512  | 1.3951          |
| 1.3798        | 0.82  | 640  | 1.3870          |
| 1.3629        | 0.99  | 768  | 1.3839          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1