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README.md

@@ -1,82 +1,90 @@
 ---
-library_name: peft
+license: mit
+library_name: "trl"
 tags:
-- trl
-- dpo
 - DPO
 - WeniGPT
-- generated_from_trainer
 base_model: Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged
 model-index:
-- name: WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.15-DPO
+- name: Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.15-DPO
   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-Agents-Mistral-1.0.0-SFT-1.0.15-DPO
 
-# WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.15-DPO
+This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
+Description: Experiment on DPO with other hyperparameters and best SFT model of WeniGPT
 
-This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged](https://huggingface.co/Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0220
-- Rewards/chosen: 4.2074
-- Rewards/rejected: -2.9677
-- Rewards/accuracies: 1.0
-- Rewards/margins: 7.1752
-- Logps/rejected: -180.9735
-- Logps/chosen: -120.5362
-- Logits/rejected: -1.8871
-- Logits/chosen: -1.8867
+{'eval_loss': 0.021960575133562088, 'eval_runtime': 13.5737, 'eval_samples_per_second': 2.063, 'eval_steps_per_second': 0.516, 'eval_rewards/chosen': 4.207414627075195, 'eval_rewards/rejected': -2.967747211456299, 'eval_rewards/accuracies': 1.0, 'eval_rewards/margins': 7.175161838531494, 'eval_logps/rejected': -180.97348022460938, 'eval_logps/chosen': -120.53617095947266, 'eval_logits/rejected': -1.8871468305587769, 'eval_logits/chosen': -1.8866546154022217, 'epoch': 5.806451612903226}
 
-## 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-Agents-Mistral-1.0.0-SFT-merged with the following prompt:
 
-## Training and evaluation data
+```
+---------------------
+System_prompt:
+Agora você se chama {name}, você é {occupation} e seu objetivo é {chatbot_goal}. O adjetivo que mais define a sua personalidade é {adjective} e você se comporta da seguinte forma:
+{instructions_formatted}
 
-More information needed
+{context_statement}
+
+Lista de requisitos:
+ - Responda de forma natural, mas nunca fale sobre um assunto fora do contexto.
+ - Nunca traga informações do seu próprio conhecimento.
+ - Repito é crucial que você responda usando apenas informações do contexto.
+ - Nunca mencione o contexto fornecido.
+ - Nunca mencione a pergunta fornecida.
+ - Gere a resposta mais útil possível para a pergunta usando informações do conexto acima.
+ - Nunca elabore sobre o porque e como você fez a tarefa, apenas responda.
 
-## Training procedure
+
+---------------------
+
+```
 
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-06
-- train_batch_size: 1
-- eval_batch_size: 1
-- seed: 42
-- distributed_type: multi-GPU
-- num_devices: 4
+- per_device_train_batch_size: 1
+- per_device_eval_batch_size: 1
 - gradient_accumulation_steps: 2
+- num_gpus: 4
 - total_train_batch_size: 8
-- total_eval_batch_size: 4
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_ratio: 0.03
-- training_steps: 180
-- mixed_precision_training: Native AMP
+- optimizer: AdamW
+- lr_scheduler_type: cosine
+- num_steps: 180
+- quantization_type: bitsandbytes
+- LoRA: ("\n  - bits: 4\n  - use_exllama: True\n  - device_map: auto\n  - use_cache: False\n  - lora_r: 16\n  - lora_alpha: 32\n  - lora_dropout: 0.1\n  - bias: none\n  - target_modules: ['q_proj', 'k_proj', 'v_proj', 'o_proj', 'gate_proj', 'up_proj', 'down_proj']\n  - task_type: CAUSAL_LM",)
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
-|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
-| 0.2469        | 0.9677 | 30   | 0.2019          | 1.9500         | -0.1978          | 1.0                | 2.1479          | -171.7404      | -128.0608    | -1.8718         | -1.8695       |
-| 0.1276        | 1.9355 | 60   | 0.0937          | 3.2025         | -0.5392          | 1.0                | 3.7417          | -172.8782      | -123.8858    | -1.8824         | -1.8808       |
-| 0.0187        | 2.9032 | 90   | 0.0572          | 3.8674         | -1.3271          | 1.0                | 5.1945          | -175.5046      | -121.6694    | -1.8911         | -1.8897       |
-| 0.0118        | 3.8710 | 120  | 0.0292          | 4.1630         | -2.2210          | 1.0                | 6.3840          | -178.4843      | -120.6841    | -1.8927         | -1.8918       |
-| 0.0058        | 4.8387 | 150  | 0.0241          | 4.1864         | -2.8105          | 1.0                | 6.9969          | -180.4493      | -120.6062    | -1.8863         | -1.8856       |
-| 0.0058        | 5.8065 | 180  | 0.0220          | 4.2074         | -2.9677          | 1.0                | 7.1752          | -180.9735      | -120.5362    | -1.8871         | -1.8867       |
-
-
 ### Framework versions
 
-- PEFT 0.10.0
-- Transformers 4.40.0
-- Pytorch 2.1.0+cu118
-- Datasets 2.18.0
-- Tokenizers 0.19.1
+- transformers==4.40.0
+- datasets==2.18.0
+- peft==0.10.0
+- safetensors==0.4.2
+- evaluate==0.4.1
+- bitsandbytes==0.43
+- huggingface_hub==0.22.2
+- seqeval==1.2.2
+- auto-gptq==0.7.1
+- gpustat==1.1.1
+- deepspeed==0.14.0
+- wandb==0.16.6
+- trl==0.8.1
+- accelerate==0.29.3
+- coloredlogs==15.0.1
+- traitlets==5.14.2
+- git+https://github.com/casper-hansen/AutoAWQ.git
+
+### Hardware
+- Cloud provided: runpod.io