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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-1.0.25-DPO
+- name: Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.25-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-1.0.25-DPO
 
-# WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.25-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: 0.0048
-- Rewards/chosen: 3.9169
-- Rewards/rejected: -6.2067
-- Rewards/accuracies: 1.0
-- Rewards/margins: 10.1235
-- Logps/rejected: -240.9936
-- Logps/chosen: -117.4673
-- Logits/rejected: -1.9027
-- Logits/chosen: -1.8786
+{'eval_loss': 0.004782966338098049, 'eval_runtime': 14.2865, 'eval_samples_per_second': 1.96, 'eval_steps_per_second': 0.49, 'eval_rewards/chosen': 3.9168648719787598, 'eval_rewards/rejected': -6.206678867340088, 'eval_rewards/accuracies': 1.0, 'eval_rewards/margins': 10.123543739318848, 'eval_logps/rejected': -240.9935760498047, 'eval_logps/chosen': -117.46734619140625, 'eval_logits/rejected': -1.9027243852615356, 'eval_logits/chosen': -1.8786267042160034, '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: 128\n  - lora_alpha: 64\n  - lora_dropout: 0.05\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 |
-|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
-| 0.225         | 0.9677 | 30   | 0.2227          | 2.6681         | -1.0085          | 1.0                | 3.6765          | -215.0026      | -123.7113    | -1.9566         | -1.9326       |
-| 0.0853        | 1.9355 | 60   | 0.1095          | 3.7286         | -2.2208          | 1.0                | 5.9494          | -221.0642      | -118.4086    | -1.9400         | -1.9170       |
-| 0.0285        | 2.9032 | 90   | 0.0545          | 4.1460         | -3.9811          | 1.0                | 8.1270          | -229.8655      | -116.3218    | -1.9301         | -1.9063       |
-| 0.001         | 3.8710 | 120  | 0.0468          | 4.1806         | -5.0175          | 1.0                | 9.1980          | -235.0477      | -116.1489    | -1.9141         | -1.8902       |
-| 0.0021        | 4.8387 | 150  | 0.0087          | 3.9958         | -5.9294          | 1.0                | 9.9252          | -239.6072      | -117.0728    | -1.9056         | -1.8815       |
-| 0.0014        | 5.8065 | 180  | 0.0048          | 3.9169         | -6.2067          | 1.0                | 10.1235         | -240.9936      | -117.4673    | -1.9027         | -1.8786       |
-
-
 ### 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