Model save

README.md

@@ -1,103 +1,74 @@
 ---
 license: mit
-library_name: "trl"
+library_name: peft
 tags:
+- trl
+- kto
 - KTO
 - WeniGPT
+- generated_from_trainer
 base_model: HuggingFaceH4/zephyr-7b-beta
 model-index:
-- name: Weni/WeniGPT-Agents-Zephyr-1.0.1-KTO
+- name: WeniGPT-Agents-Zephyr-1.0.1-KTO
   results: []
-language: ['pt']
 ---
 
-# Weni/WeniGPT-Agents-Zephyr-1.0.1-KTO
+<!-- 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. -->
 
-This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta] on the dataset Weni/wenigpt-agent-1.2.0 with the KTO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
-Description: testing kto dataset during training
+# WeniGPT-Agents-Zephyr-1.0.1-KTO
 
+This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the None dataset.
 It achieves the following results on the evaluation set:
-{'eval_loss': 0.4733425974845886, 'eval_runtime': 138.4852, 'eval_samples_per_second': 2.166, 'eval_steps_per_second': 0.542, 'eval_rewards/chosen': -149.7693634033203, 'eval_logps/chosen': -1804.134765625, 'eval_rewards/rejected': -137.1732940673828, 'eval_logps/rejected': -1664.4483642578125, 'eval_kl': 0.0, 'eval_rewards/margins': -9.425224304199219, 'epoch': 0.99}
+- Loss: 0.4733
+- Rewards/chosen: -219.2543
+- Logps/chosen: -2469.1658
+- Rewards/rejected: -195.7859
+- Logps/rejected: -2225.6833
+- Kl: 0.0
+- Rewards/margins: -26.2359
 
-## Intended uses & limitations
-
-This model has not been trained to avoid specific intructions. 
-
-## Training procedure
-
-Finetuning was done on the model HuggingFaceH4/zephyr-7b-beta with the following prompt:
-
-```
----------------------
-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}
-
-Na sua memória você tem esse contexto:
-{context}
+## Model description
 
-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.
-
-
----------------------
-Question:
-{question}
+More information needed
 
+## Intended uses & limitations
 
----------------------
-Response:
-{answer}
+More information needed
 
+## Training and evaluation data
 
----------------------
+More information needed
 
-```
+## Training procedure
 
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0002
-- per_device_train_batch_size: 4
-- per_device_eval_batch_size: 4
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
 - gradient_accumulation_steps: 4
-- num_gpus: 1
 - total_train_batch_size: 16
-- optimizer: AdamW
-- lr_scheduler_type: cosine
-- num_steps: 145
-- 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: 0.05\n  - bias: none\n  - target_modules: ['q_proj', 'k_proj', 'v_proj', 'o_proj']\n  - task_type: CAUSAL_LM",)
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.03
+- training_steps: 145
+- mixed_precision_training: Native AMP
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Logps/chosen | Rewards/rejected | Logps/rejected | Kl  | Rewards/margins |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:------------:|:----------------:|:--------------:|:---:|:---------------:|
+| 0.4463        | 0.34  | 50   | 0.4733          | -114.5865      | -1422.4874   | -124.0729        | -1508.5540     | 0.0 | 10.3186         |
+| 0.4719        | 0.68  | 100  | 0.4733          | -219.2543      | -2469.1658   | -195.7859        | -2225.6833     | 0.0 | -26.2359        |
+
+
 ### Framework versions
 
-- transformers==4.39.1
-- datasets==2.18.0
-- peft==0.10.0
-- safetensors==0.4.2
-- evaluate==0.4.1
-- bitsandbytes==0.43
-- huggingface_hub==0.20.3
-- seqeval==1.2.2
-- optimum==1.17.1
-- auto-gptq==0.7.1
-- gpustat==1.1.1
-- deepspeed==0.14.0
-- wandb==0.16.3
-- # trl==0.8.1
-- git+https://github.com/kawine/trl.git#egg=trl
-- accelerate==0.28.0
-- 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
+- PEFT 0.10.0
+- Transformers 4.39.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.18.0
+- Tokenizers 0.15.2

adapter_model.safetensors

@@ -1,3 +1,3 @@
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-size 54560368
+oid sha256:0cc56559735688364892fd066cf09f670d88c669dfb50ddd8e525bf409dd2aa8
+size 1103203256