Training in progress, step 90, checkpoint

checkpoint-90/README.md

@@ -0,0 +1,202 @@
+---
+library_name: peft
+base_model: Weni/WeniGPT-Agents-Mistral-1.0.11-SFT-merged
+---
+
+# 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 0.10.0

checkpoint-90/adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "Weni/WeniGPT-Agents-Mistral-1.0.11-SFT-merged",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "v_proj",
+    "q_proj",
+    "k_proj",
+    "gate_proj",
+    "up_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

checkpoint-90/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:52d9679836b3bfb295cae124660ffeb35e167e00b3706a892b629f05c613d484
+size 335604696

checkpoint-90/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eb61814b93d90182b4c5ed31ed5a80894389a761d6ef3d09764114dc1890ff4c
+size 671466706

checkpoint-90/rng_state_0.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:418a5f105ae834c3075024076916b2a9475918fe034c12d0dd5b6d91f1aba467
+size 15024

checkpoint-90/rng_state_1.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6e07ace389d24bc1307b74f42a1e7b8f0117b0db853e2df64ff3f15cb92916a2
+size 15024

checkpoint-90/rng_state_2.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:da6a990f346d7014dffb28fa2bc7d3b890bd3c53712503fce3656da48d3d6e50
+size 15024

checkpoint-90/rng_state_3.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e95f356ca38179b05993f55daece0223e96fa10b9a1b9ea2102a739211333f63
+size 15024

checkpoint-90/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5f635966bb704fa93b785e165dbed5a367a764600116ee2d3fb284bf64ad24cb
+size 1064

checkpoint-90/special_tokens_map.json

@@ -0,0 +1,24 @@
+{
+  "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-90/tokenizer.model

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

checkpoint-90/tokenizer_config.json

@@ -0,0 +1,48 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "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": [],
+  "bos_token": "<s>",
+  "chat_template": "{% for message in messages %}{% if message['role'] == 'user' %}{{ bos_token + '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'system' %}{{ '<<SYS>>\\n' + message['content'] + '\\n<</SYS>>\\n\\n' }}{% elif message['role'] == 'assistant' %}{{ ' '  + message['content'] + ' ' + eos_token }}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "max_length": 8192,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<unk>",
+  "padding": true,
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "stride": 0,
+  "tokenizer_class": "LlamaTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

checkpoint-90/trainer_state.json

@@ -0,0 +1,204 @@
+{
+  "best_metric": 0.15727286040782928,
+  "best_model_checkpoint": "./mistral/23-04-24-Weni-WeniGPT-Agents-Mistral-1.0.11-SFT-1.0.27-DPO_Experiment on DPO with other hyperparameters and best SFT model of WeniGPT-2_max_steps-180_batch_8_2024-04-23_ppid_9/checkpoint-90",
+  "epoch": 2.903225806451613,
+  "eval_steps": 30,
+  "global_step": 90,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.3225806451612903,
+      "grad_norm": 8.21396541595459,
+      "learning_rate": 4.971264367816092e-06,
+      "logits/chosen": -1.8720277547836304,
+      "logits/rejected": -1.9025541543960571,
+      "logps/chosen": -185.8878631591797,
+      "logps/rejected": -211.33914184570312,
+      "loss": 0.6877,
+      "rewards/accuracies": 0.3499999940395355,
+      "rewards/chosen": 0.004850864410400391,
+      "rewards/margins": 0.005139083601534367,
+      "rewards/rejected": -0.00028821948217228055,
+      "step": 10
+    },
+    {
+      "epoch": 0.6451612903225806,
+      "grad_norm": 8.390437126159668,
+      "learning_rate": 4.683908045977012e-06,
+      "logits/chosen": -1.911663293838501,
+      "logits/rejected": -1.95529305934906,
+      "logps/chosen": -208.3522186279297,
+      "logps/rejected": -255.2483673095703,
+      "loss": 0.6173,
+      "rewards/accuracies": 0.8500000238418579,
+      "rewards/chosen": 0.12306723743677139,
+      "rewards/margins": 0.19074788689613342,
+      "rewards/rejected": -0.06768067181110382,
+      "step": 20
+    },
+    {
+      "epoch": 0.967741935483871,
+      "grad_norm": 5.7153449058532715,
+      "learning_rate": 4.396551724137931e-06,
+      "logits/chosen": -1.8318233489990234,
+      "logits/rejected": -1.8505750894546509,
+      "logps/chosen": -198.19886779785156,
+      "logps/rejected": -201.53128051757812,
+      "loss": 0.5138,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 0.39280813932418823,
+      "rewards/margins": 0.48059898614883423,
+      "rewards/rejected": -0.0877908319234848,
+      "step": 30
+    },
+    {
+      "epoch": 0.967741935483871,
+      "eval_logits/chosen": -1.8199779987335205,
+      "eval_logits/rejected": -1.8497353792190552,
+      "eval_logps/chosen": -141.1519775390625,
+      "eval_logps/rejected": -179.952880859375,
+      "eval_loss": 0.4535991847515106,
+      "eval_rewards/accuracies": 1.0,
+      "eval_rewards/chosen": 0.5539799928665161,
+      "eval_rewards/margins": 0.6171248555183411,
+      "eval_rewards/rejected": -0.06314478814601898,
+      "eval_runtime": 11.0404,
+      "eval_samples_per_second": 2.536,
+      "eval_steps_per_second": 0.634,
+      "step": 30
+    },
+    {
+      "epoch": 1.2903225806451613,
+      "grad_norm": 5.215389251708984,
+      "learning_rate": 4.1091954022988515e-06,
+      "logits/chosen": -1.8099329471588135,
+      "logits/rejected": -1.827679991722107,
+      "logps/chosen": -173.8700408935547,
+      "logps/rejected": -178.54608154296875,
+      "loss": 0.4012,
+      "rewards/accuracies": 0.8999999761581421,
+      "rewards/chosen": 0.590423047542572,
+      "rewards/margins": 0.5694462060928345,
+      "rewards/rejected": 0.02097688615322113,
+      "step": 40
+    },
+    {
+      "epoch": 1.6129032258064515,
+      "grad_norm": 5.5629096031188965,
+      "learning_rate": 3.82183908045977e-06,
+      "logits/chosen": -1.7727949619293213,
+      "logits/rejected": -1.7900581359863281,
+      "logps/chosen": -140.95156860351562,
+      "logps/rejected": -164.9313507080078,
+      "loss": 0.3905,
+      "rewards/accuracies": 0.8999999761581421,
+      "rewards/chosen": 0.5463284850120544,
+      "rewards/margins": 0.7675722241401672,
+      "rewards/rejected": -0.2212437391281128,
+      "step": 50
+    },
+    {
+      "epoch": 1.935483870967742,
+      "grad_norm": 4.645016193389893,
+      "learning_rate": 3.5344827586206898e-06,
+      "logits/chosen": -1.7856403589248657,
+      "logits/rejected": -1.8158725500106812,
+      "logps/chosen": -143.9577178955078,
+      "logps/rejected": -168.88681030273438,
+      "loss": 0.2915,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 0.9448509216308594,
+      "rewards/margins": 1.046811819076538,
+      "rewards/rejected": -0.10196097940206528,
+      "step": 60
+    },
+    {
+      "epoch": 1.935483870967742,
+      "eval_logits/chosen": -1.8333207368850708,
+      "eval_logits/rejected": -1.863599181175232,
+      "eval_logps/chosen": -134.95201110839844,
+      "eval_logps/rejected": -181.9961395263672,
+      "eval_loss": 0.24886395037174225,
+      "eval_rewards/accuracies": 1.0,
+      "eval_rewards/chosen": 1.1739768981933594,
+      "eval_rewards/margins": 1.441449522972107,
+      "eval_rewards/rejected": -0.2674725353717804,
+      "eval_runtime": 11.0448,
+      "eval_samples_per_second": 2.535,
+      "eval_steps_per_second": 0.634,
+      "step": 60
+    },
+    {
+      "epoch": 2.258064516129032,
+      "grad_norm": 5.072994709014893,
+      "learning_rate": 3.24712643678161e-06,
+      "logits/chosen": -1.8422324657440186,
+      "logits/rejected": -1.8538700342178345,
+      "logps/chosen": -148.91033935546875,
+      "logps/rejected": -174.97677612304688,
+      "loss": 0.2754,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 1.0643397569656372,
+      "rewards/margins": 1.4705278873443604,
+      "rewards/rejected": -0.40618810057640076,
+      "step": 70
+    },
+    {
+      "epoch": 2.5806451612903225,
+      "grad_norm": 4.727698802947998,
+      "learning_rate": 2.959770114942529e-06,
+      "logits/chosen": -1.8584480285644531,
+      "logits/rejected": -1.9063705205917358,
+      "logps/chosen": -120.79048156738281,
+      "logps/rejected": -250.99142456054688,
+      "loss": 0.2084,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 1.022344946861267,
+      "rewards/margins": 1.722174882888794,
+      "rewards/rejected": -0.6998298764228821,
+      "step": 80
+    },
+    {
+      "epoch": 2.903225806451613,
+      "grad_norm": 3.443195104598999,
+      "learning_rate": 2.672413793103448e-06,
+      "logits/chosen": -1.8592571020126343,
+      "logits/rejected": -1.8985626697540283,
+      "logps/chosen": -137.69444274902344,
+      "logps/rejected": -232.9921112060547,
+      "loss": 0.1995,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 1.2343705892562866,
+      "rewards/margins": 2.051001787185669,
+      "rewards/rejected": -0.8166313171386719,
+      "step": 90
+    },
+    {
+      "epoch": 2.903225806451613,
+      "eval_logits/chosen": -1.8481289148330688,
+      "eval_logits/rejected": -1.878524661064148,
+      "eval_logps/chosen": -131.11766052246094,
+      "eval_logps/rejected": -185.3928680419922,
+      "eval_loss": 0.15727286040782928,
+      "eval_rewards/accuracies": 1.0,
+      "eval_rewards/chosen": 1.5574114322662354,
+      "eval_rewards/margins": 2.1645569801330566,
+      "eval_rewards/rejected": -0.6071456074714661,
+      "eval_runtime": 11.0454,
+      "eval_samples_per_second": 2.535,
+      "eval_steps_per_second": 0.634,
+      "step": 90
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 180,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 6,
+  "save_steps": 90,
+  "total_flos": 0.0,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-90/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c5ac12aa709c9bde628fc3e909f47fe0fdcc3418d511d20a37419452c6309434
+size 5432