Training in progress, step 25, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: MNC-Jihun/Mistral-7B-AO-u0.5-b2-ver0.4
+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": "MNC-Jihun/Mistral-7B-AO-u0.5-b2-ver0.4",
+  "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": 64,
+  "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": [
+    "v_proj",
+    "down_proj",
+    "up_proj",
+    "k_proj",
+    "o_proj",
+    "gate_proj",
+    "q_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 sha256:1a68ed6b15cb88b0fa22d5594ded7417b6a8e99d85eece995b0681aafa79a356
+size 859909312

last-checkpoint/added_tokens.json

@@ -0,0 +1,3 @@
+{
+  "[PAD]": 32000
+}

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c3ac863536aca2d657b8c120563226c5c798868ffe78107c0df158ce7179b8ce
+size 671466706

last-checkpoint/rng_state_0.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3c9c444c60a99e5ca9bec1f0629070fb2a0661b12a95995b7fb08a345fc211c7
+size 15024

last-checkpoint/rng_state_1.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8174bec7257736d616204abc32d3d70eede34b421ad59a7d1ad16cc3f9843cbf
+size 15024

last-checkpoint/rng_state_2.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:205859cf74135b886639c07c63c93ae3237146f29e8162392e406bf8c38431c0
+size 15024

last-checkpoint/rng_state_3.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ebd71b8dffc2c366ea9a52c657adceafef629644a56b313c2f507d899c9f2339
+size 15024

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f37b2aa490ccb1598b01e14cda36e9081f7ce646deab4d3c2d03de0d2169a755
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,36 @@
+{
+  "additional_special_tokens": [
+    "<unk>",
+    "<s>",
+    "</s>",
+    "[PAD]"
+  ],
+  "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": "[PAD]",
+    "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:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
+size 493443

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,57 @@
+{
+  "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
+    },
+    "32000": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<unk>",
+    "<s>",
+    "</s>",
+    "[PAD]"
+  ],
+  "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": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "[PAD]",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,233 @@
+{
+  "best_metric": 0.6939923167228699,
+  "best_model_checkpoint": "miner_id_24/checkpoint-25",
+  "epoch": 0.6462035541195477,
+  "eval_steps": 25,
+  "global_step": 25,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.025848142164781908,
+      "grad_norm": 4.880069255828857,
+      "learning_rate": 5e-05,
+      "loss": 1.5723,
+      "step": 1
+    },
+    {
+      "epoch": 0.025848142164781908,
+      "eval_loss": 4.013998508453369,
+      "eval_runtime": 7.9669,
+      "eval_samples_per_second": 32.761,
+      "eval_steps_per_second": 4.142,
+      "step": 1
+    },
+    {
+      "epoch": 0.051696284329563816,
+      "grad_norm": 9.304342269897461,
+      "learning_rate": 0.0001,
+      "loss": 2.0352,
+      "step": 2
+    },
+    {
+      "epoch": 0.07754442649434572,
+      "grad_norm": 9.894126892089844,
+      "learning_rate": 9.989294616193017e-05,
+      "loss": 2.0236,
+      "step": 3
+    },
+    {
+      "epoch": 0.10339256865912763,
+      "grad_norm": 10.942134857177734,
+      "learning_rate": 9.957224306869053e-05,
+      "loss": 1.7414,
+      "step": 4
+    },
+    {
+      "epoch": 0.12924071082390953,
+      "grad_norm": 5.521557331085205,
+      "learning_rate": 9.903926402016153e-05,
+      "loss": 0.8353,
+      "step": 5
+    },
+    {
+      "epoch": 0.15508885298869143,
+      "grad_norm": 10.370209693908691,
+      "learning_rate": 9.829629131445342e-05,
+      "loss": 0.7426,
+      "step": 6
+    },
+    {
+      "epoch": 0.18093699515347333,
+      "grad_norm": 3.6883773803710938,
+      "learning_rate": 9.73465064747553e-05,
+      "loss": 0.6915,
+      "step": 7
+    },
+    {
+      "epoch": 0.20678513731825526,
+      "grad_norm": 3.1144471168518066,
+      "learning_rate": 9.619397662556435e-05,
+      "loss": 0.5608,
+      "step": 8
+    },
+    {
+      "epoch": 0.23263327948303716,
+      "grad_norm": 2.9336555004119873,
+      "learning_rate": 9.484363707663442e-05,
+      "loss": 0.5569,
+      "step": 9
+    },
+    {
+      "epoch": 0.25848142164781907,
+      "grad_norm": 5.899685382843018,
+      "learning_rate": 9.330127018922194e-05,
+      "loss": 1.2174,
+      "step": 10
+    },
+    {
+      "epoch": 0.284329563812601,
+      "grad_norm": 4.57917594909668,
+      "learning_rate": 9.157348061512727e-05,
+      "loss": 1.1618,
+      "step": 11
+    },
+    {
+      "epoch": 0.31017770597738287,
+      "grad_norm": 2.7850589752197266,
+      "learning_rate": 8.966766701456177e-05,
+      "loss": 0.8585,
+      "step": 12
+    },
+    {
+      "epoch": 0.3360258481421648,
+      "grad_norm": 3.2607767581939697,
+      "learning_rate": 8.759199037394887e-05,
+      "loss": 0.862,
+      "step": 13
+    },
+    {
+      "epoch": 0.36187399030694667,
+      "grad_norm": 4.28148078918457,
+      "learning_rate": 8.535533905932738e-05,
+      "loss": 0.8488,
+      "step": 14
+    },
+    {
+      "epoch": 0.3877221324717286,
+      "grad_norm": 3.7991559505462646,
+      "learning_rate": 8.296729075500344e-05,
+      "loss": 0.814,
+      "step": 15
+    },
+    {
+      "epoch": 0.4135702746365105,
+      "grad_norm": 3.3533058166503906,
+      "learning_rate": 8.043807145043604e-05,
+      "loss": 0.5973,
+      "step": 16
+    },
+    {
+      "epoch": 0.4394184168012924,
+      "grad_norm": 2.7965564727783203,
+      "learning_rate": 7.777851165098012e-05,
+      "loss": 0.4449,
+      "step": 17
+    },
+    {
+      "epoch": 0.46526655896607433,
+      "grad_norm": 2.6489598751068115,
+      "learning_rate": 7.500000000000001e-05,
+      "loss": 0.5361,
+      "step": 18
+    },
+    {
+      "epoch": 0.4911147011308562,
+      "grad_norm": 3.193338394165039,
+      "learning_rate": 7.211443451095007e-05,
+      "loss": 0.602,
+      "step": 19
+    },
+    {
+      "epoch": 0.5169628432956381,
+      "grad_norm": 2.7645440101623535,
+      "learning_rate": 6.91341716182545e-05,
+      "loss": 1.1143,
+      "step": 20
+    },
+    {
+      "epoch": 0.5428109854604201,
+      "grad_norm": 4.164054870605469,
+      "learning_rate": 6.607197326515808e-05,
+      "loss": 1.1591,
+      "step": 21
+    },
+    {
+      "epoch": 0.568659127625202,
+      "grad_norm": 3.5855021476745605,
+      "learning_rate": 6.294095225512603e-05,
+      "loss": 1.0142,
+      "step": 22
+    },
+    {
+      "epoch": 0.5945072697899838,
+      "grad_norm": 2.638758420944214,
+      "learning_rate": 5.9754516100806423e-05,
+      "loss": 0.7719,
+      "step": 23
+    },
+    {
+      "epoch": 0.6203554119547657,
+      "grad_norm": 2.7778890132904053,
+      "learning_rate": 5.6526309611002594e-05,
+      "loss": 0.5908,
+      "step": 24
+    },
+    {
+      "epoch": 0.6462035541195477,
+      "grad_norm": 1.9736764430999756,
+      "learning_rate": 5.327015646150716e-05,
+      "loss": 0.4878,
+      "step": 25
+    },
+    {
+      "epoch": 0.6462035541195477,
+      "eval_loss": 0.6939923167228699,
+      "eval_runtime": 7.9374,
+      "eval_samples_per_second": 32.883,
+      "eval_steps_per_second": 4.158,
+      "step": 25
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 50,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 2,
+  "save_steps": 25,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 1,
+        "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": 2.829012279754752e+17,
+  "train_batch_size": 2,
+  "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:def7008c58d63d16cdad9773befe921655da0e8f40b6214ac0b64af28d0343df
+size 6776