metadata
license: apache-2.0
base_model: DAMO-NLP-MT/polylm-13b
tags:
- generated_from_trainer
model-index:
- name: polylm_13b_ft_alpaca_clean_dutch
results: []
polylm_13b_ft_alpaca_clean_dutch
This model is a fine-tuned version of DAMO-NLP-MT/polylm-13b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3355
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: 2e-05
- 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 |
|---|---|---|---|
| 1.4311 | 0.16 | 128 | 1.4541 |
| 1.3936 | 0.33 | 256 | 1.4141 |
| 1.423 | 0.49 | 384 | 1.3960 |
| 1.3672 | 0.66 | 512 | 1.3832 |
| 1.3809 | 0.82 | 640 | 1.3754 |
| 1.3581 | 0.99 | 768 | 1.3652 |
| 1.3534 | 1.15 | 896 | 1.3599 |
| 1.3334 | 1.32 | 1024 | 1.3535 |
| 1.3351 | 1.48 | 1152 | 1.3475 |
| 1.3178 | 1.65 | 1280 | 1.3411 |
| 1.3341 | 1.81 | 1408 | 1.3378 |
| 1.2976 | 1.98 | 1536 | 1.3355 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3