|
|
|
--- |
|
|
|
pipeline_tag: text-generation |
|
base_model: gemma-2-Ifable-9B |
|
library_name: transformers |
|
|
|
--- |
|
|
|
[](https://hf.co/QuantFactory) |
|
|
|
|
|
# QuantFactory/gemma-2-Ifable-9B-GGUF |
|
This is quantized version of [ifable/gemma-2-Ifable-9B](https://huggingface.co/ifable/gemma-2-Ifable-9B) created using llama.cpp |
|
|
|
# Original Model Card |
|
|
|
<!-- 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. --> |
|
|
|
# ifable/gemma-2-Ifable-9B |
|
|
|
## Training and evaluation data |
|
|
|
- Gutenberg: https://huggingface.co/datasets/jondurbin/gutenberg-dpo-v0.1 |
|
- Carefully curated proprietary creative writing dataset |
|
|
|
## Training procedure |
|
|
|
Training method: SimPO (GitHub - princeton-nlp/SimPO: SimPO: Simple Preference Optimization with a Reference-Free Reward) |
|
|
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.0163 |
|
- Rewards/chosen: -21.6822 |
|
- Rewards/rejected: -47.8754 |
|
- Rewards/accuracies: 0.9167 |
|
- Rewards/margins: 26.1931 |
|
- Logps/rejected: -4.7875 |
|
- Logps/chosen: -2.1682 |
|
- Logits/rejected: -17.0475 |
|
- Logits/chosen: -12.0041 |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 8e-07 |
|
- train_batch_size: 1 |
|
- eval_batch_size: 1 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 8 |
|
- gradient_accumulation_steps: 16 |
|
- total_train_batch_size: 128 |
|
- total_eval_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: 1.0 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Sft Loss | |
|
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:| |
|
| 1.4444 | 0.9807 | 35 | 1.0163 | -21.6822 | -47.8754 | 0.9167 | 26.1931 | -4.7875 | -2.1682 | -17.0475 | -12.0041 | 0.0184 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.43.4 |
|
- Pytorch 2.3.0a0+ebedce2 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
|
|
|
We are looking for product manager and operations managers to build applications through our model, and also open for business cooperation, and also AI engineer to join us, contact with : [email protected] |
|
|
