metadata
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: []
polylm_13b_ft_alpaca_clean_dutch
This model is a fine-tuned version of 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