Training in progress, step 50, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: lmsys/vicuna-7b-v1.5
+library_name: peft
+---
+
+# 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 0.13.2

last-checkpoint/adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "lmsys/vicuna-7b-v1.5",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 128,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "o_proj",
+    "up_proj",
+    "v_proj",
+    "q_proj",
+    "gate_proj",
+    "down_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

last-checkpoint/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bea111c5c87674fef55a0edbd7d57ca99fd355bc65a714740cc74f025da8a388
+size 639691872

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5b5f6c27e1ff265b8e7ea3fe794f38a17d6ad11e073932322ccb62b29f36f463
+size 325339796

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:897f17b15a241b704f770674ae4a2e1fb24c737c0b5a9040e28040c1ccc81ea4
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1d359eb5d29e75fb2bbe5b7026981da69b95b8ad1fea469302d13cde104f7e8a
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "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": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

last-checkpoint/tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,44 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": 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
+    }
+  },
+  "bos_token": "<s>",
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": false,
+  "model_max_length": 4096,
+  "pad_token": "<unk>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,408 @@
+{
+  "best_metric": 0.0004325860645622015,
+  "best_model_checkpoint": "miner_id_24/checkpoint-50",
+  "epoch": 0.22002200220022003,
+  "eval_steps": 50,
+  "global_step": 50,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0044004400440044,
+      "grad_norm": 0.124293252825737,
+      "learning_rate": 1e-05,
+      "loss": 0.0426,
+      "step": 1
+    },
+    {
+      "epoch": 0.0044004400440044,
+      "eval_loss": 0.4005989134311676,
+      "eval_runtime": 26.9175,
+      "eval_samples_per_second": 14.229,
+      "eval_steps_per_second": 3.566,
+      "step": 1
+    },
+    {
+      "epoch": 0.0088008800880088,
+      "grad_norm": 0.16282618045806885,
+      "learning_rate": 2e-05,
+      "loss": 0.062,
+      "step": 2
+    },
+    {
+      "epoch": 0.013201320132013201,
+      "grad_norm": 0.21799585223197937,
+      "learning_rate": 3e-05,
+      "loss": 0.0727,
+      "step": 3
+    },
+    {
+      "epoch": 0.0176017601760176,
+      "grad_norm": 0.21013480424880981,
+      "learning_rate": 4e-05,
+      "loss": 0.0685,
+      "step": 4
+    },
+    {
+      "epoch": 0.022002200220022004,
+      "grad_norm": 0.20355410873889923,
+      "learning_rate": 5e-05,
+      "loss": 0.0581,
+      "step": 5
+    },
+    {
+      "epoch": 0.026402640264026403,
+      "grad_norm": 0.17260350286960602,
+      "learning_rate": 6e-05,
+      "loss": 0.0502,
+      "step": 6
+    },
+    {
+      "epoch": 0.030803080308030802,
+      "grad_norm": 0.13334129750728607,
+      "learning_rate": 7e-05,
+      "loss": 0.0366,
+      "step": 7
+    },
+    {
+      "epoch": 0.0352035203520352,
+      "grad_norm": 0.18650147318840027,
+      "learning_rate": 8e-05,
+      "loss": 0.0244,
+      "step": 8
+    },
+    {
+      "epoch": 0.039603960396039604,
+      "grad_norm": 0.07796633988618851,
+      "learning_rate": 9e-05,
+      "loss": 0.0059,
+      "step": 9
+    },
+    {
+      "epoch": 0.04400440044004401,
+      "grad_norm": 0.054084423929452896,
+      "learning_rate": 0.0001,
+      "loss": 0.0044,
+      "step": 10
+    },
+    {
+      "epoch": 0.0484048404840484,
+      "grad_norm": 0.009877416305243969,
+      "learning_rate": 9.999316524962345e-05,
+      "loss": 0.0003,
+      "step": 11
+    },
+    {
+      "epoch": 0.052805280528052806,
+      "grad_norm": 0.0258188396692276,
+      "learning_rate": 9.997266286704631e-05,
+      "loss": 0.0007,
+      "step": 12
+    },
+    {
+      "epoch": 0.05720572057205721,
+      "grad_norm": 0.002410753397271037,
+      "learning_rate": 9.993849845741524e-05,
+      "loss": 0.0001,
+      "step": 13
+    },
+    {
+      "epoch": 0.061606160616061605,
+      "grad_norm": 0.021880745887756348,
+      "learning_rate": 9.989068136093873e-05,
+      "loss": 0.0004,
+      "step": 14
+    },
+    {
+      "epoch": 0.066006600660066,
+      "grad_norm": 0.02978755719959736,
+      "learning_rate": 9.98292246503335e-05,
+      "loss": 0.0006,
+      "step": 15
+    },
+    {
+      "epoch": 0.0704070407040704,
+      "grad_norm": 0.14782631397247314,
+      "learning_rate": 9.975414512725057e-05,
+      "loss": 0.0012,
+      "step": 16
+    },
+    {
+      "epoch": 0.0748074807480748,
+      "grad_norm": 0.1662040501832962,
+      "learning_rate": 9.966546331768191e-05,
+      "loss": 0.0048,
+      "step": 17
+    },
+    {
+      "epoch": 0.07920792079207921,
+      "grad_norm": 0.036936525255441666,
+      "learning_rate": 9.956320346634876e-05,
+      "loss": 0.0007,
+      "step": 18
+    },
+    {
+      "epoch": 0.08360836083608361,
+      "grad_norm": 0.02265871688723564,
+      "learning_rate": 9.944739353007344e-05,
+      "loss": 0.0004,
+      "step": 19
+    },
+    {
+      "epoch": 0.08800880088008801,
+      "grad_norm": 1.1831775903701782,
+      "learning_rate": 9.931806517013612e-05,
+      "loss": 0.0142,
+      "step": 20
+    },
+    {
+      "epoch": 0.0924092409240924,
+      "grad_norm": 0.03350690007209778,
+      "learning_rate": 9.917525374361912e-05,
+      "loss": 0.0003,
+      "step": 21
+    },
+    {
+      "epoch": 0.0968096809680968,
+      "grad_norm": 0.6453636288642883,
+      "learning_rate": 9.901899829374047e-05,
+      "loss": 0.0033,
+      "step": 22
+    },
+    {
+      "epoch": 0.10121012101210121,
+      "grad_norm": 0.11069868505001068,
+      "learning_rate": 9.884934153917997e-05,
+      "loss": 0.0013,
+      "step": 23
+    },
+    {
+      "epoch": 0.10561056105610561,
+      "grad_norm": 0.43788349628448486,
+      "learning_rate": 9.86663298624003e-05,
+      "loss": 0.005,
+      "step": 24
+    },
+    {
+      "epoch": 0.11001100110011001,
+      "grad_norm": 0.42596757411956787,
+      "learning_rate": 9.847001329696653e-05,
+      "loss": 0.0049,
+      "step": 25
+    },
+    {
+      "epoch": 0.11441144114411442,
+      "grad_norm": 0.1743294596672058,
+      "learning_rate": 9.826044551386744e-05,
+      "loss": 0.0017,
+      "step": 26
+    },
+    {
+      "epoch": 0.1188118811881188,
+      "grad_norm": 0.0388183556497097,
+      "learning_rate": 9.803768380684242e-05,
+      "loss": 0.0005,
+      "step": 27
+    },
+    {
+      "epoch": 0.12321232123212321,
+      "grad_norm": 0.016508113592863083,
+      "learning_rate": 9.780178907671789e-05,
+      "loss": 0.0002,
+      "step": 28
+    },
+    {
+      "epoch": 0.1276127612761276,
+      "grad_norm": 0.041783303022384644,
+      "learning_rate": 9.755282581475769e-05,
+      "loss": 0.0004,
+      "step": 29
+    },
+    {
+      "epoch": 0.132013201320132,
+      "grad_norm": 0.015788815915584564,
+      "learning_rate": 9.729086208503174e-05,
+      "loss": 0.0003,
+      "step": 30
+    },
+    {
+      "epoch": 0.13641364136413642,
+      "grad_norm": 0.004324780311435461,
+      "learning_rate": 9.701596950580806e-05,
+      "loss": 0.0001,
+      "step": 31
+    },
+    {
+      "epoch": 0.1408140814081408,
+      "grad_norm": 0.010136484168469906,
+      "learning_rate": 9.672822322997305e-05,
+      "loss": 0.0002,
+      "step": 32
+    },
+    {
+      "epoch": 0.14521452145214522,
+      "grad_norm": 0.000882372260093689,
+      "learning_rate": 9.642770192448536e-05,
+      "loss": 0.0,
+      "step": 33
+    },
+    {
+      "epoch": 0.1496149614961496,
+      "grad_norm": 0.0007833244744688272,
+      "learning_rate": 9.611448774886924e-05,
+      "loss": 0.0,
+      "step": 34
+    },
+    {
+      "epoch": 0.15401540154015403,
+      "grad_norm": 0.000685386941768229,
+      "learning_rate": 9.578866633275288e-05,
+      "loss": 0.0,
+      "step": 35
+    },
+    {
+      "epoch": 0.15841584158415842,
+      "grad_norm": 0.0007669946062378585,
+      "learning_rate": 9.545032675245813e-05,
+      "loss": 0.0,
+      "step": 36
+    },
+    {
+      "epoch": 0.1628162816281628,
+      "grad_norm": 0.0013068517437204719,
+      "learning_rate": 9.509956150664796e-05,
+      "loss": 0.0,
+      "step": 37
+    },
+    {
+      "epoch": 0.16721672167216722,
+      "grad_norm": 0.0012661711079999804,
+      "learning_rate": 9.473646649103818e-05,
+      "loss": 0.0,
+      "step": 38
+    },
+    {
+      "epoch": 0.1716171617161716,
+      "grad_norm": 0.0012077712453901768,
+      "learning_rate": 9.43611409721806e-05,
+      "loss": 0.0,
+      "step": 39
+    },
+    {
+      "epoch": 0.17601760176017603,
+      "grad_norm": 0.0011527056340128183,
+      "learning_rate": 9.397368756032445e-05,
+      "loss": 0.0001,
+      "step": 40
+    },
+    {
+      "epoch": 0.18041804180418042,
+      "grad_norm": 0.001161446562036872,
+      "learning_rate": 9.357421218136386e-05,
+      "loss": 0.0,
+      "step": 41
+    },
+    {
+      "epoch": 0.1848184818481848,
+      "grad_norm": 0.0030522786546498537,
+      "learning_rate": 9.316282404787871e-05,
+      "loss": 0.0001,
+      "step": 42
+    },
+    {
+      "epoch": 0.18921892189218922,
+      "grad_norm": 0.14969733357429504,
+      "learning_rate": 9.273963562927695e-05,
+      "loss": 0.0017,
+      "step": 43
+    },
+    {
+      "epoch": 0.1936193619361936,
+      "grad_norm": 0.004970098379999399,
+      "learning_rate": 9.230476262104677e-05,
+      "loss": 0.0002,
+      "step": 44
+    },
+    {
+      "epoch": 0.19801980198019803,
+      "grad_norm": 0.009716896340250969,
+      "learning_rate": 9.185832391312644e-05,
+      "loss": 0.0003,
+      "step": 45
+    },
+    {
+      "epoch": 0.20242024202420242,
+      "grad_norm": 0.03123481199145317,
+      "learning_rate": 9.140044155740101e-05,
+      "loss": 0.0004,
+      "step": 46
+    },
+    {
+      "epoch": 0.2068206820682068,
+      "grad_norm": 0.0060460539534688,
+      "learning_rate": 9.093124073433463e-05,
+      "loss": 0.0001,
+      "step": 47
+    },
+    {
+      "epoch": 0.21122112211221122,
+      "grad_norm": 0.012646622024476528,
+      "learning_rate": 9.045084971874738e-05,
+      "loss": 0.0002,
+      "step": 48
+    },
+    {
+      "epoch": 0.2156215621562156,
+      "grad_norm": 0.00430687703192234,
+      "learning_rate": 8.995939984474624e-05,
+      "loss": 0.0001,
+      "step": 49
+    },
+    {
+      "epoch": 0.22002200220022003,
+      "grad_norm": 0.02385520562529564,
+      "learning_rate": 8.945702546981969e-05,
+      "loss": 0.0002,
+      "step": 50
+    },
+    {
+      "epoch": 0.22002200220022003,
+      "eval_loss": 0.0004325860645622015,
+      "eval_runtime": 27.3877,
+      "eval_samples_per_second": 13.984,
+      "eval_steps_per_second": 3.505,
+      "step": 50
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 200,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 50,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 5,
+        "early_stopping_threshold": 0.0
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 0
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 6.719003660019302e+16,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eb56bd1bc89b6c8ae77874dd661d827c1268d36762bf631e303218d0d2dcebcc
+size 6840