metadata
license: mit
base_model: BramVanroy/fietje-2b
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: fietje-2b-sft
results: []
fietje-2b-sft
This model is a fine-tuned version of BramVanroy/fietje-2b on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.8818
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: 6e-05
- train_batch_size: 42
- eval_batch_size: 42
- seed: 42
- distributed_type: multi-GPU
- num_devices: 16
- total_train_batch_size: 672
- total_eval_batch_size: 672
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-07
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9325 | 1.0 | 178 | 0.9060 |
| 0.8687 | 2.0 | 356 | 0.8850 |
| 0.8385 | 3.0 | 534 | 0.8818 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2