metadata
license: cc-by-nc-4.0
inference: false
datasets:
- BramVanroy/alpaca-cleaned-dutch
base_model: DAMO-NLP-MT/polylm-1.7b
tags:
- generated_from_trainer
- alpaca
- Transformers
- PolyLM
- text-generation-inference
model-index:
- name: polylm_1.7b_ft_alpaca_clean_dutch
results: []
language:
- nl
library_name: peft
pipeline_tag: text-generation
polylm_1.7b_ft_alpaca_clean_dutch
This model is a fine-tuned version of DAMO-NLP-MT/polylm-1.7b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8174
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: 0.0002
- 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 |
|---|---|---|---|
| 2.0693 | 0.16 | 128 | 2.0915 |
| 2.0029 | 0.33 | 256 | 2.0195 |
| 2.0006 | 0.49 | 384 | 1.9779 |
| 1.933 | 0.66 | 512 | 1.9409 |
| 1.9532 | 0.82 | 640 | 1.9217 |
| 1.8959 | 0.99 | 768 | 1.8978 |
| 1.8237 | 1.15 | 896 | 1.8838 |
| 1.8218 | 1.32 | 1024 | 1.8693 |
| 1.8072 | 1.48 | 1152 | 1.8521 |
| 1.8103 | 1.65 | 1280 | 1.8395 |
| 1.8275 | 1.81 | 1408 | 1.8266 |
| 1.7902 | 1.98 | 1536 | 1.8174 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
- PEFT 0.4.0