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README.md

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+---
+license: gemma
+library_name: transformers
+datasets:
+- jondurbin/gutenberg-dpo-v0.1
+---
+<!-- 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
+This model ranked first on the Creative Writing Benchmark (https://eqbench.com/creative_writing.html) on September 10, 2024
+
+## 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 : contact@ifable.ai