Upload folder using huggingface_hub

README.md

@@ -1,74 +1,86 @@
 ---
 license: mit
-library_name: peft
+library_name: "trl"
 tags:
-- trl
-- dpo
-- generated_from_trainer
-base_model: HuggingFaceH4/zephyr-7b-beta
+- DPO
+- WeniGPT
+base_model: Weni/WeniGPT-2.2.3-Zephyr-7B-LLM_Base_2.0.3_SFT
 model-index:
-- name: WeniGPT-2.4.1-Zephyr-7B-3-epochs-LLM_Base_2.0.3_DPO
+- name: Weni/WeniGPT-2.4.1-Zephyr-7B-3-epochs-LLM_Base_2.0.3_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-2.4.1-Zephyr-7B-3-epochs-LLM_Base_2.0.3_DPO
 
-# WeniGPT-2.4.1-Zephyr-7B-3-epochs-LLM_Base_2.0.3_DPO
+This model is a fine-tuned version of [Weni/WeniGPT-2.2.3-Zephyr-7B-LLM_Base_2.0.3_SFT] on the dataset Weni/WeniGPT-QA-1.0.1_DPO with the DPO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
 
-This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6603
-- Rewards/chosen: -0.0862
-- Rewards/rejected: -0.8016
-- Rewards/accuracies: 0.0500
-- Rewards/margins: 0.7154
-- Logps/rejected: -15.9648
-- Logps/chosen: -5.8822
-- Logits/rejected: -2.0424
-- Logits/chosen: -2.0422
+{'eval_loss': 0.6602855324745178, 'eval_runtime': 184.5803, 'eval_samples_per_second': 1.723, 'eval_steps_per_second': 0.217, 'eval_rewards/chosen': -0.08619274199008942, 'eval_rewards/rejected': -0.8016107678413391, 'eval_rewards/accuracies': 0.05000000074505806, 'eval_rewards/margins': 0.7154179811477661, 'eval_logps/rejected': -15.964799880981445, 'eval_logps/chosen': -5.8821868896484375, 'eval_logits/rejected': -2.0424394607543945, 'eval_logits/chosen': -2.042232036590576, 'epoch': 2.98}
 
-## 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-LLM_Base_2.0.3_SFT with the following prompt:
 
-## Training and evaluation data
+```
+---------------------
+Pt:
+### Instruction:
+Você é um médico tratando um paciente com amnésia. Para responder as perguntas do paciente, você irá ler um texto anteriormente para se contextualizar. Se você trouxer informações desconhecidas, fora do texto lido, poderá deixar o paciente confuso. Se o paciente fizer uma questão sobre informações não presentes no texto, você precisa responder de forma educada que você não tem informação suficiente para responder, pois se tentar responder, pode trazer informações que não ajudarão o paciente recuperar sua memória.Lembre, se não estiver no texto, você precisa responder de forma educada que você não tem informação suficiente para responder. Precisamos ajudar o paciente.
+</s>### Input:
+TEXTO: {context}
 
-More information needed
+PERGUNTA: {question}
+</s>
+### Response:
+RESPOSTA: {chosen_response}</s>
+### Response:
+RESPOSTA: {rejected_response}</s>
+---------------------
 
-## Training procedure
+```
 
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 8
-- eval_batch_size: 8
-- seed: 42
+- per_device_train_batch_size: 8
+- per_device_eval_batch_size: 8
 - gradient_accumulation_steps: 4
+- num_gpus: 1
 - total_train_batch_size: 32
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_ratio: 0.1
-- training_steps: 267
-- mixed_precision_training: Native AMP
+- optimizer: AdamW
+- lr_scheduler_type: cosine
+- num_steps: 267
+- 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
 
-| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
-|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
-| 0.645         | 1.12  | 100  | 0.6629          | -0.0384        | -0.7857          | 0.0469             | 0.7473          | -15.8056       | -5.4039      | -2.0586         | -2.0584       |
-| 0.6487        | 2.23  | 200  | 0.6603          | -0.0862        | -0.8016          | 0.0500             | 0.7154          | -15.9648       | -5.8822      | -2.0424         | -2.0422       |
-
-
 ### Framework versions
 
-- PEFT 0.8.2
-- Transformers 4.38.2
-- Pytorch 2.1.0+cu118
-- Datasets 2.17.1
-- Tokenizers 0.15.2
+- transformers==4.38.2
+- 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
+- trl==0.7.11
+- accelerate==0.27.2
+- 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

checkpoint-100/README.md

@@ -0,0 +1,204 @@
+---
+library_name: peft
+base_model: HuggingFaceH4/zephyr-7b-beta
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure 
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+
+
+### Framework versions
+
+- PEFT 0.8.2

checkpoint-100/adapter_config.json

@@ -0,0 +1,29 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "HuggingFaceH4/zephyr-7b-beta",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj",
+    "k_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

checkpoint-100/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:200462bb676302eca51748672a69af70e6fe58feb201ceaa8aa3ed52699ebfbc
+size 27297032

checkpoint-100/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0566c09e0c1666911e65fca1fbe3506f27b066107bc840f7083e12199532e377
+size 54740730

checkpoint-100/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9196a1e708bf24d6abba41cce3f8558820acc3e50f9394c5955e29eb41ffea3d
+size 14244

checkpoint-100/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e85eb5e8ce1c87a3053dd36ae0a5432c9d3f45c4a2b29b3840650475400188a7
+size 1064

checkpoint-100/special_tokens_map.json

@@ -0,0 +1,29 @@
+{
+  "additional_special_tokens": [
+    "<unk>",
+    "<s>",
+    "</s>"
+  ],
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<unk>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-100/tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
+size 493443

checkpoint-100/tokenizer_config.json

@@ -0,0 +1,50 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": true,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<unk>",
+    "<s>",
+    "</s>"
+  ],
+  "bos_token": "<s>",
+  "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n'  + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "max_lenght": 2048,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<unk>",
+  "padding": true,
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "truncation_side": "left",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true
+}

checkpoint-100/trainer_state.json

@@ -0,0 +1,112 @@
+{
+  "best_metric": 0.6628985404968262,
+  "best_model_checkpoint": "./Zephyr/14-03-24-Weni-WeniGPT-2.4.1-Zephyr-7B-3-epochs-LLM_Base_2.0.3_DPO_WeniGPT DPO training-2_max_steps-267_batch_32_2024-03-14_ppid_9/checkpoint-100",
+  "epoch": 1.1173184357541899,
+  "eval_steps": 100,
+  "global_step": 100,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.22,
+      "grad_norm": 2.263607978820801,
+      "learning_rate": 3.518518518518519e-05,
+      "logits/chosen": -2.214717149734497,
+      "logits/rejected": -2.2155280113220215,
+      "logps/chosen": -5.710334777832031,
+      "logps/rejected": -9.765484809875488,
+      "loss": 0.6883,
+      "rewards/accuracies": 0.04062499850988388,
+      "rewards/chosen": 0.009401815943419933,
+      "rewards/margins": 0.012448241002857685,
+      "rewards/rejected": -0.0030464245937764645,
+      "step": 20
+    },
+    {
+      "epoch": 0.45,
+      "grad_norm": 0.008143444545567036,
+      "learning_rate": 4.75e-05,
+      "logits/chosen": -2.2037911415100098,
+      "logits/rejected": -2.2049593925476074,
+      "logps/chosen": -4.532853126525879,
+      "logps/rejected": -9.577239036560059,
+      "loss": 0.6685,
+      "rewards/accuracies": 0.05000000074505806,
+      "rewards/chosen": 0.05643541365861893,
+      "rewards/margins": 0.14316150546073914,
+      "rewards/rejected": -0.0867261067032814,
+      "step": 40
+    },
+    {
+      "epoch": 0.67,
+      "grad_norm": 0.03508400544524193,
+      "learning_rate": 4.3333333333333334e-05,
+      "logits/chosen": -2.1209869384765625,
+      "logits/rejected": -2.1222269535064697,
+      "logps/chosen": -8.109282493591309,
+      "logps/rejected": -18.921493530273438,
+      "loss": 0.648,
+      "rewards/accuracies": 0.06875000149011612,
+      "rewards/chosen": -0.08420856297016144,
+      "rewards/margins": 0.552670955657959,
+      "rewards/rejected": -0.636879563331604,
+      "step": 60
+    },
+    {
+      "epoch": 0.89,
+      "grad_norm": 9.134880656347377e-07,
+      "learning_rate": 3.9166666666666665e-05,
+      "logits/chosen": -2.05387020111084,
+      "logits/rejected": -2.0554463863372803,
+      "logps/chosen": -10.270573616027832,
+      "logps/rejected": -23.5235595703125,
+      "loss": 0.6617,
+      "rewards/accuracies": 0.0703125,
+      "rewards/chosen": -0.29610732197761536,
+      "rewards/margins": 0.937633216381073,
+      "rewards/rejected": -1.2337405681610107,
+      "step": 80
+    },
+    {
+      "epoch": 1.12,
+      "grad_norm": 0.011362694203853607,
+      "learning_rate": 3.5e-05,
+      "logits/chosen": -2.0597641468048096,
+      "logits/rejected": -2.061570167541504,
+      "logps/chosen": -8.65438175201416,
+      "logps/rejected": -23.752864837646484,
+      "loss": 0.645,
+      "rewards/accuracies": 0.0703125,
+      "rewards/chosen": -0.09740939736366272,
+      "rewards/margins": 1.0688247680664062,
+      "rewards/rejected": -1.1662342548370361,
+      "step": 100
+    },
+    {
+      "epoch": 1.12,
+      "eval_logits/chosen": -2.0584123134613037,
+      "eval_logits/rejected": -2.058645725250244,
+      "eval_logps/chosen": -5.4038591384887695,
+      "eval_logps/rejected": -15.805567741394043,
+      "eval_loss": 0.6628985404968262,
+      "eval_rewards/accuracies": 0.046875,
+      "eval_rewards/chosen": -0.038359977304935455,
+      "eval_rewards/margins": 0.7473276853561401,
+      "eval_rewards/rejected": -0.7856876254081726,
+      "eval_runtime": 184.5849,
+      "eval_samples_per_second": 1.723,
+      "eval_steps_per_second": 0.217,
+      "step": 100
+    }
+  ],
+  "logging_steps": 20,
+  "max_steps": 267,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 100,
+  "total_flos": 0.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-100/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a385849d1a05b1f7ea603748a6cabbad64cd68095c966fe10e782d984f338a4a
+size 5240

checkpoint-200/README.md

@@ -0,0 +1,204 @@
+---
+library_name: peft
+base_model: HuggingFaceH4/zephyr-7b-beta
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure 
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+
+
+### Framework versions
+
+- PEFT 0.8.2

checkpoint-200/adapter_config.json

@@ -0,0 +1,29 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "HuggingFaceH4/zephyr-7b-beta",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj",
+    "k_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

checkpoint-200/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d49daf3c9a2d5ec22a597c843781e72da838bfb9a8fd067070ddca9c853a4b79
+size 27297032

checkpoint-200/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:78e50b6921a7b70c8e10b3ba3489636fca10c9d1064d8ad82da294edbcbef2ce
+size 54740730

checkpoint-200/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6b3ee827a7a00012c0a116546df467feee35e70376d81a7a85b1a70eb90414d3
+size 14244

checkpoint-200/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f4b4f2f944de5e5959a283a56f4d070e16f6730d7f6918f50d96cbc609fd08ec
+size 1064

checkpoint-200/special_tokens_map.json

@@ -0,0 +1,29 @@
+{
+  "additional_special_tokens": [
+    "<unk>",
+    "<s>",
+    "</s>"
+  ],
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<unk>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-200/tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
+size 493443

checkpoint-200/tokenizer_config.json

@@ -0,0 +1,50 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": true,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<unk>",
+    "<s>",
+    "</s>"
+  ],
+  "bos_token": "<s>",
+  "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n'  + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "max_lenght": 2048,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<unk>",
+  "padding": true,
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "truncation_side": "left",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true
+}

checkpoint-200/trainer_state.json

@@ -0,0 +1,203 @@
+{
+  "best_metric": 0.6602855324745178,
+  "best_model_checkpoint": "./Zephyr/14-03-24-Weni-WeniGPT-2.4.1-Zephyr-7B-3-epochs-LLM_Base_2.0.3_DPO_WeniGPT DPO training-2_max_steps-267_batch_32_2024-03-14_ppid_9/checkpoint-200",
+  "epoch": 2.2346368715083798,
+  "eval_steps": 100,
+  "global_step": 200,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.22,
+      "grad_norm": 2.263607978820801,
+      "learning_rate": 3.518518518518519e-05,
+      "logits/chosen": -2.214717149734497,
+      "logits/rejected": -2.2155280113220215,
+      "logps/chosen": -5.710334777832031,
+      "logps/rejected": -9.765484809875488,
+      "loss": 0.6883,
+      "rewards/accuracies": 0.04062499850988388,
+      "rewards/chosen": 0.009401815943419933,
+      "rewards/margins": 0.012448241002857685,
+      "rewards/rejected": -0.0030464245937764645,
+      "step": 20
+    },
+    {
+      "epoch": 0.45,
+      "grad_norm": 0.008143444545567036,
+      "learning_rate": 4.75e-05,
+      "logits/chosen": -2.2037911415100098,
+      "logits/rejected": -2.2049593925476074,
+      "logps/chosen": -4.532853126525879,
+      "logps/rejected": -9.577239036560059,
+      "loss": 0.6685,
+      "rewards/accuracies": 0.05000000074505806,
+      "rewards/chosen": 0.05643541365861893,
+      "rewards/margins": 0.14316150546073914,
+      "rewards/rejected": -0.0867261067032814,
+      "step": 40
+    },
+    {
+      "epoch": 0.67,
+      "grad_norm": 0.03508400544524193,
+      "learning_rate": 4.3333333333333334e-05,
+      "logits/chosen": -2.1209869384765625,
+      "logits/rejected": -2.1222269535064697,
+      "logps/chosen": -8.109282493591309,
+      "logps/rejected": -18.921493530273438,
+      "loss": 0.648,
+      "rewards/accuracies": 0.06875000149011612,
+      "rewards/chosen": -0.08420856297016144,
+      "rewards/margins": 0.552670955657959,
+      "rewards/rejected": -0.636879563331604,
+      "step": 60
+    },
+    {
+      "epoch": 0.89,
+      "grad_norm": 9.134880656347377e-07,
+      "learning_rate": 3.9166666666666665e-05,
+      "logits/chosen": -2.05387020111084,
+      "logits/rejected": -2.0554463863372803,
+      "logps/chosen": -10.270573616027832,
+      "logps/rejected": -23.5235595703125,
+      "loss": 0.6617,
+      "rewards/accuracies": 0.0703125,
+      "rewards/chosen": -0.29610732197761536,
+      "rewards/margins": 0.937633216381073,
+      "rewards/rejected": -1.2337405681610107,
+      "step": 80
+    },
+    {
+      "epoch": 1.12,
+      "grad_norm": 0.011362694203853607,
+      "learning_rate": 3.5e-05,
+      "logits/chosen": -2.0597641468048096,
+      "logits/rejected": -2.061570167541504,
+      "logps/chosen": -8.65438175201416,
+      "logps/rejected": -23.752864837646484,
+      "loss": 0.645,
+      "rewards/accuracies": 0.0703125,
+      "rewards/chosen": -0.09740939736366272,
+      "rewards/margins": 1.0688247680664062,
+      "rewards/rejected": -1.1662342548370361,
+      "step": 100
+    },
+    {
+      "epoch": 1.12,
+      "eval_logits/chosen": -2.0584123134613037,
+      "eval_logits/rejected": -2.058645725250244,
+      "eval_logps/chosen": -5.4038591384887695,
+      "eval_logps/rejected": -15.805567741394043,
+      "eval_loss": 0.6628985404968262,
+      "eval_rewards/accuracies": 0.046875,
+      "eval_rewards/chosen": -0.038359977304935455,
+      "eval_rewards/margins": 0.7473276853561401,
+      "eval_rewards/rejected": -0.7856876254081726,
+      "eval_runtime": 184.5849,
+      "eval_samples_per_second": 1.723,
+      "eval_steps_per_second": 0.217,
+      "step": 100
+    },
+    {
+      "epoch": 1.34,
+      "grad_norm": 0.0013161306269466877,
+      "learning_rate": 3.0833333333333335e-05,
+      "logits/chosen": -2.0432400703430176,
+      "logits/rejected": -2.044841766357422,
+      "logps/chosen": -6.820550441741943,
+      "logps/rejected": -21.021259307861328,
+      "loss": 0.6477,
+      "rewards/accuracies": 0.06562499701976776,
+      "rewards/chosen": -0.02809135988354683,
+      "rewards/margins": 1.0132167339324951,
+      "rewards/rejected": -1.0413081645965576,
+      "step": 120
+    },
+    {
+      "epoch": 1.56,
+      "grad_norm": 8.640726264275145e-06,
+      "learning_rate": 2.6666666666666667e-05,
+      "logits/chosen": -2.054994821548462,
+      "logits/rejected": -2.0564422607421875,
+      "logps/chosen": -5.1008477210998535,
+      "logps/rejected": -13.319849014282227,
+      "loss": 0.6628,
+      "rewards/accuracies": 0.04374999925494194,
+      "rewards/chosen": -0.057785846292972565,
+      "rewards/margins": 0.5807012319564819,
+      "rewards/rejected": -0.6384871006011963,
+      "step": 140
+    },
+    {
+      "epoch": 1.79,
+      "grad_norm": 0.0,
+      "learning_rate": 2.25e-05,
+      "logits/chosen": -2.040984869003296,
+      "logits/rejected": -2.042287826538086,
+      "logps/chosen": -7.02631139755249,
+      "logps/rejected": -23.568788528442383,
+      "loss": 0.6466,
+      "rewards/accuracies": 0.06718750298023224,
+      "rewards/chosen": -0.03699848800897598,
+      "rewards/margins": 1.1374967098236084,
+      "rewards/rejected": -1.1744953393936157,
+      "step": 160
+    },
+    {
+      "epoch": 2.01,
+      "grad_norm": 0.00016398979641962796,
+      "learning_rate": 1.8333333333333333e-05,
+      "logits/chosen": -2.0391345024108887,
+      "logits/rejected": -2.0405616760253906,
+      "logps/chosen": -6.764143943786621,
+      "logps/rejected": -21.696426391601562,
+      "loss": 0.6527,
+      "rewards/accuracies": 0.05833333730697632,
+      "rewards/chosen": -0.05727072432637215,
+      "rewards/margins": 1.0412245988845825,
+      "rewards/rejected": -1.098495364189148,
+      "step": 180
+    },
+    {
+      "epoch": 2.23,
+      "grad_norm": 7.534373480666545e-07,
+      "learning_rate": 1.4166666666666668e-05,
+      "logits/chosen": -2.037209987640381,
+      "logits/rejected": -2.038935899734497,
+      "logps/chosen": -6.84408712387085,
+      "logps/rejected": -22.35368537902832,
+      "loss": 0.6487,
+      "rewards/accuracies": 0.06406249850988388,
+      "rewards/chosen": -0.04177577421069145,
+      "rewards/margins": 1.066990852355957,
+      "rewards/rejected": -1.1087664365768433,
+      "step": 200
+    },
+    {
+      "epoch": 2.23,
+      "eval_logits/chosen": -2.042232036590576,
+      "eval_logits/rejected": -2.0424394607543945,
+      "eval_logps/chosen": -5.8821868896484375,
+      "eval_logps/rejected": -15.964799880981445,
+      "eval_loss": 0.6602855324745178,
+      "eval_rewards/accuracies": 0.05000000074505806,
+      "eval_rewards/chosen": -0.08619274199008942,
+      "eval_rewards/margins": 0.7154179811477661,
+      "eval_rewards/rejected": -0.8016107678413391,
+      "eval_runtime": 184.5752,
+      "eval_samples_per_second": 1.723,
+      "eval_steps_per_second": 0.217,
+      "step": 200
+    }
+  ],
+  "logging_steps": 20,
+  "max_steps": 267,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 100,
+  "total_flos": 0.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-200/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a385849d1a05b1f7ea603748a6cabbad64cd68095c966fe10e782d984f338a4a
+size 5240