ifable/gemma-2-Ifable-9B This model ranked first on the Creative Writing Benchmark (https://eqbench.com/creativewriting.html) on September 10, 2024
- Gutenberg: https://huggingface.co/datasets/jondurbin/gutenberg-dpo-v0.1 - Carefully curated proprietary creative writing dataset
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
The following hyperparameters were used during training: - learningrate: 8e-07 - trainbatchsize: 1 - evalbatchsize: 1 - seed: 42 - distributedtype: multi-GPU - numdevices: 8 - gradientaccumulationsteps: 16 - totaltrainbatchsize: 128 - totalevalbatchsize: 8 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lrschedulertype: cosine - lrschedulerwarmupratio: 0.1 - numepochs: 1.0
| 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 |
- 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]