FinGEITje-7B-sft / README.md
snoels's picture
Update README.md
b19ceaf verified
|
raw
history blame
1.56 kB
---
license: cc-by-nc-4.0
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
- trl
- sft
base_model: BramVanroy/GEITje-7B-ultra
datasets:
- snoels/FinGEITje-sft
model-index:
- name: fingeitje
results: []
language:
- nl
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# fingeitje
This model is a fine-tuned version of [BramVanroy/GEITje-7B-ultra](https://huggingface.co/BramVanroy/GEITje-7B-ultra) on the ice-hands/fingeit_training_3 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3928
## 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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.406 | 1.0 | 3922 | 0.3928 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.15.2