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README.md

@@ -1,69 +1,81 @@
 ---
-library_name: peft
+license: mit
+library_name: "trl"
 tags:
-- trl
-- dpo
-- generated_from_trainer
+- DPO
+- DPO
 base_model: Weni/WeniGPT-2.2.3-Zephyr-7B-merged-LLM_Base_2.0.3_SFT
 model-index:
-- name: WeniGPT-2.6.3-Zephyr-7B-zephyr-prompt-LLM_Base_2.0.3_DPO_reduction_variation
+- name: Weni/WeniGPT-2.6.3-Zephyr-7B-zephyr-prompt-LLM_Base_2.0.3_DPO_reduction_variation
   results: []
+language: ['pt']
 ---
 
-<!-- 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. -->
+# Weni/WeniGPT-2.6.3-Zephyr-7B-zephyr-prompt-LLM_Base_2.0.3_DPO_reduction_variation
 
-# WeniGPT-2.6.3-Zephyr-7B-zephyr-prompt-LLM_Base_2.0.3_DPO_reduction_variation
+This model is a fine-tuned version of [Weni/WeniGPT-2.2.3-Zephyr-7B-merged-LLM_Base_2.0.3_SFT] on the dataset Weni/LLM_Base_2.0.3_DPO with the DPO trainer. It is part of the DPO project for [Weni](https://weni.ai/).
 
-This model is a fine-tuned version of [Weni/WeniGPT-2.2.3-Zephyr-7B-merged-LLM_Base_2.0.3_SFT](https://huggingface.co/Weni/WeniGPT-2.2.3-Zephyr-7B-merged-LLM_Base_2.0.3_SFT) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6931
-- Rewards/chosen: 0.0
-- Rewards/rejected: 0.0
-- Rewards/accuracies: 0.0
-- Rewards/margins: 0.0
-- Logps/rejected: -206.1858
-- Logps/chosen: -64.0427
-- Logits/rejected: -2.0290
-- Logits/chosen: -1.6491
+{'eval_loss': 0.6931472420692444, 'eval_runtime': 175.1355, 'eval_samples_per_second': 2.804, 'eval_steps_per_second': 1.405, 'eval_rewards/chosen': 0.0, 'eval_rewards/rejected': 0.0, 'eval_rewards/accuracies': 0.0, 'eval_rewards/margins': 0.0, 'eval_logps/rejected': -206.18580627441406, 'eval_logps/chosen': -64.04271697998047, 'eval_logits/rejected': -2.028987169265747, 'eval_logits/chosen': -1.6491303443908691, 'epoch': 0.0}
 
-## Model description
+## Intended uses & limitations
 
-More information needed
+This model has not been trained to avoid specific intructions. 
 
-## Intended uses & limitations
+## Training procedure
 
-More information needed
+Finetuning was done on the model Weni/WeniGPT-2.2.3-Zephyr-7B-merged-LLM_Base_2.0.3_SFT with the following prompt:
 
-## Training and evaluation data
+```
+Question:
+<|user|>{question}</s>
 
-More information needed
 
-## Training procedure
+Chosen:
+<|assistant|>{correct_ans}</s>
+
+
+Rejected:
+<|assistant|>{rejected_ans}</s>
+```
 
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0002
-- train_batch_size: 8
-- eval_batch_size: 2
-- seed: 42
+- per_device_train_batch_size: 8
+- per_device_eval_batch_size: 2
 - gradient_accumulation_steps: 2
+- num_gpus: 1
 - total_train_batch_size: 16
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_ratio: 0.1
-- training_steps: 1
-- mixed_precision_training: Native AMP
+- optimizer: AdamW
+- lr_scheduler_type: cosine
+- num_steps: 1
+- quantization_type: bitsandbytes
+- LoRA: ("\n  - bits: 4\n  - use_exllama: True\n  - device_map: auto\n  - use_cache: False\n  - lora_r: 8\n  - lora_alpha: 16\n  - lora_dropout: 0.1\n  - bias: none\n  - target_modules: ['q_proj', 'k_proj', 'v_proj', 'o_proj']\n  - task_type: CAUSAL_LM",)
 
 ### Training results
 
-
-
 ### Framework versions
 
-- PEFT 0.8.2
-- Transformers 4.39.0.dev0
-- Pytorch 2.1.0+cu118
-- Datasets 2.17.1
-- Tokenizers 0.15.1
+- git+https://github.com/huggingface/transformers@main
+- datasets==2.17.1
+- peft==0.8.2
+- safetensors==0.4.2
+- evaluate==0.4.1
+- bitsandbytes==0.42
+- huggingface_hub==0.20.3
+- seqeval==1.2.2
+- optimum==1.17.1
+- auto-gptq==0.7.0
+- gpustat==1.1.1
+- deepspeed==0.13.2
+- wandb==0.16.3
+- git+https://github.com/huggingface/trl.git@main
+- git+https://github.com/huggingface/accelerate.git@main
+- coloredlogs==15.0.1
+- traitlets==5.14.1
+- autoawq@https://github.com/casper-hansen/AutoAWQ/releases/download/v0.2.0/autoawq-0.2.0+cu118-cp310-cp310-linux_x86_64.whl
+
+### Hardware
+- Cloud provided: runpod.io