Training in progress, step 50, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: NousResearch/Yarn-Llama-2-7b-128k
+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": "NousResearch/Yarn-Llama-2-7b-128k",
+  "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": 32,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "q_proj",
+    "up_proj",
+    "gate_proj",
+    "down_proj",
+    "v_proj",
+    "o_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 sha256:8f22522263c8238dfcb7d1f942124c111f5893613753ab429e87ad928ced9d2f
+size 159967880

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eaa6485cfe1cdfdfca5b5fe6d1919de7e5a056eb7b33f77c35f369330be67058
+size 320194002

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4e7774b924a2282d72542d9919611905ca854797f016aff695cc6031e95bdbf8
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:27056a0998d22ff91c008d94a9050c2a20dda9fd1206f04e807d59afc14e5421
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "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": true,
+    "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 +1,43 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "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": 1000000000000000019884624838656,
+  "pad_token": "<unk>",
+  "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 +1,416 @@
+{
+  "best_metric": 0.7010467052459717,
+  "best_model_checkpoint": "miner_id_24/checkpoint-50",
+  "epoch": 0.6920415224913494,
+  "eval_steps": 25,
+  "global_step": 50,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.01384083044982699,
+      "grad_norm": 40.9892692565918,
+      "learning_rate": 2.9999999999999997e-05,
+      "loss": 30.7293,
+      "step": 1
+    },
+    {
+      "epoch": 0.01384083044982699,
+      "eval_loss": 7.911479949951172,
+      "eval_runtime": 5.1322,
+      "eval_samples_per_second": 9.742,
+      "eval_steps_per_second": 1.364,
+      "step": 1
+    },
+    {
+      "epoch": 0.02768166089965398,
+      "grad_norm": 44.54869079589844,
+      "learning_rate": 5.9999999999999995e-05,
+      "loss": 31.553,
+      "step": 2
+    },
+    {
+      "epoch": 0.04152249134948097,
+      "grad_norm": 46.91074752807617,
+      "learning_rate": 8.999999999999999e-05,
+      "loss": 30.4963,
+      "step": 3
+    },
+    {
+      "epoch": 0.05536332179930796,
+      "grad_norm": 49.72462844848633,
+      "learning_rate": 0.00011999999999999999,
+      "loss": 28.3763,
+      "step": 4
+    },
+    {
+      "epoch": 0.06920415224913495,
+      "grad_norm": 50.18564224243164,
+      "learning_rate": 0.00015,
+      "loss": 22.6685,
+      "step": 5
+    },
+    {
+      "epoch": 0.08304498269896193,
+      "grad_norm": 44.5780143737793,
+      "learning_rate": 0.00017999999999999998,
+      "loss": 14.5096,
+      "step": 6
+    },
+    {
+      "epoch": 0.09688581314878893,
+      "grad_norm": 30.434995651245117,
+      "learning_rate": 0.00020999999999999998,
+      "loss": 7.348,
+      "step": 7
+    },
+    {
+      "epoch": 0.11072664359861592,
+      "grad_norm": 15.010186195373535,
+      "learning_rate": 0.00023999999999999998,
+      "loss": 4.1836,
+      "step": 8
+    },
+    {
+      "epoch": 0.1245674740484429,
+      "grad_norm": 8.79946231842041,
+      "learning_rate": 0.00027,
+      "loss": 3.2994,
+      "step": 9
+    },
+    {
+      "epoch": 0.1384083044982699,
+      "grad_norm": 3.8603556156158447,
+      "learning_rate": 0.0003,
+      "loss": 2.8264,
+      "step": 10
+    },
+    {
+      "epoch": 0.1522491349480969,
+      "grad_norm": 10.656445503234863,
+      "learning_rate": 0.0002999593861769192,
+      "loss": 3.1222,
+      "step": 11
+    },
+    {
+      "epoch": 0.16608996539792387,
+      "grad_norm": 5.157639980316162,
+      "learning_rate": 0.00029983756670077865,
+      "loss": 2.9336,
+      "step": 12
+    },
+    {
+      "epoch": 0.17993079584775087,
+      "grad_norm": 3.850473165512085,
+      "learning_rate": 0.0002996346075389736,
+      "loss": 2.8686,
+      "step": 13
+    },
+    {
+      "epoch": 0.19377162629757785,
+      "grad_norm": 8.165860176086426,
+      "learning_rate": 0.00029935061859747065,
+      "loss": 2.9763,
+      "step": 14
+    },
+    {
+      "epoch": 0.20761245674740483,
+      "grad_norm": 6.534956455230713,
+      "learning_rate": 0.00029898575366129145,
+      "loss": 3.1093,
+      "step": 15
+    },
+    {
+      "epoch": 0.22145328719723184,
+      "grad_norm": 5.248986721038818,
+      "learning_rate": 0.0002985402103112355,
+      "loss": 2.896,
+      "step": 16
+    },
+    {
+      "epoch": 0.23529411764705882,
+      "grad_norm": 3.770387887954712,
+      "learning_rate": 0.00029801422981688686,
+      "loss": 2.7932,
+      "step": 17
+    },
+    {
+      "epoch": 0.2491349480968858,
+      "grad_norm": 9.586681365966797,
+      "learning_rate": 0.000297408097005962,
+      "loss": 2.9843,
+      "step": 18
+    },
+    {
+      "epoch": 0.2629757785467128,
+      "grad_norm": 5.363808631896973,
+      "learning_rate": 0.0002967221401100708,
+      "loss": 2.9857,
+      "step": 19
+    },
+    {
+      "epoch": 0.2768166089965398,
+      "grad_norm": 3.2338597774505615,
+      "learning_rate": 0.00029595673058697357,
+      "loss": 2.8622,
+      "step": 20
+    },
+    {
+      "epoch": 0.2906574394463668,
+      "grad_norm": 3.012906312942505,
+      "learning_rate": 0.0002951122829194295,
+      "loss": 2.6277,
+      "step": 21
+    },
+    {
+      "epoch": 0.3044982698961938,
+      "grad_norm": 6.697887420654297,
+      "learning_rate": 0.0002941892543907478,
+      "loss": 3.0416,
+      "step": 22
+    },
+    {
+      "epoch": 0.31833910034602075,
+      "grad_norm": 2.6583356857299805,
+      "learning_rate": 0.0002931881448371598,
+      "loss": 2.6767,
+      "step": 23
+    },
+    {
+      "epoch": 0.33217993079584773,
+      "grad_norm": 1.7108440399169922,
+      "learning_rate": 0.0002921094963771494,
+      "loss": 2.7423,
+      "step": 24
+    },
+    {
+      "epoch": 0.3460207612456747,
+      "grad_norm": 2.377303123474121,
+      "learning_rate": 0.0002909538931178862,
+      "loss": 2.811,
+      "step": 25
+    },
+    {
+      "epoch": 0.3460207612456747,
+      "eval_loss": 0.6890237331390381,
+      "eval_runtime": 5.2521,
+      "eval_samples_per_second": 9.52,
+      "eval_steps_per_second": 1.333,
+      "step": 25
+    },
+    {
+      "epoch": 0.35986159169550175,
+      "grad_norm": 2.390648603439331,
+      "learning_rate": 0.00028972196083892134,
+      "loss": 2.7977,
+      "step": 26
+    },
+    {
+      "epoch": 0.3737024221453287,
+      "grad_norm": 2.9108152389526367,
+      "learning_rate": 0.00028841436665331634,
+      "loss": 2.9092,
+      "step": 27
+    },
+    {
+      "epoch": 0.3875432525951557,
+      "grad_norm": 2.952723979949951,
+      "learning_rate": 0.0002870318186463901,
+      "loss": 2.7992,
+      "step": 28
+    },
+    {
+      "epoch": 0.4013840830449827,
+      "grad_norm": 2.9674861431121826,
+      "learning_rate": 0.00028557506549227804,
+      "loss": 2.8412,
+      "step": 29
+    },
+    {
+      "epoch": 0.41522491349480967,
+      "grad_norm": 1.8786237239837646,
+      "learning_rate": 0.0002840448960485118,
+      "loss": 2.7702,
+      "step": 30
+    },
+    {
+      "epoch": 0.4290657439446367,
+      "grad_norm": 3.3518176078796387,
+      "learning_rate": 0.000282442138928839,
+      "loss": 2.8484,
+      "step": 31
+    },
+    {
+      "epoch": 0.4429065743944637,
+      "grad_norm": 1.953736662864685,
+      "learning_rate": 0.0002807676620545143,
+      "loss": 2.5684,
+      "step": 32
+    },
+    {
+      "epoch": 0.45674740484429066,
+      "grad_norm": 8.230539321899414,
+      "learning_rate": 0.00027902237218430483,
+      "loss": 3.2569,
+      "step": 33
+    },
+    {
+      "epoch": 0.47058823529411764,
+      "grad_norm": 7.019381046295166,
+      "learning_rate": 0.00027720721442346387,
+      "loss": 3.1625,
+      "step": 34
+    },
+    {
+      "epoch": 0.4844290657439446,
+      "grad_norm": 5.099842071533203,
+      "learning_rate": 0.00027532317171194046,
+      "loss": 3.0486,
+      "step": 35
+    },
+    {
+      "epoch": 0.4982698961937716,
+      "grad_norm": 2.0828545093536377,
+      "learning_rate": 0.00027337126429209934,
+      "loss": 2.832,
+      "step": 36
+    },
+    {
+      "epoch": 0.5121107266435986,
+      "grad_norm": 1.9583015441894531,
+      "learning_rate": 0.0002713525491562421,
+      "loss": 2.8298,
+      "step": 37
+    },
+    {
+      "epoch": 0.5259515570934256,
+      "grad_norm": 2.480612277984619,
+      "learning_rate": 0.00026926811947422714,
+      "loss": 2.7638,
+      "step": 38
+    },
+    {
+      "epoch": 0.5397923875432526,
+      "grad_norm": 2.304385185241699,
+      "learning_rate": 0.0002671191040014989,
+      "loss": 2.7757,
+      "step": 39
+    },
+    {
+      "epoch": 0.5536332179930796,
+      "grad_norm": 3.724012851715088,
+      "learning_rate": 0.00026490666646784665,
+      "loss": 2.8564,
+      "step": 40
+    },
+    {
+      "epoch": 0.5674740484429066,
+      "grad_norm": 6.570769309997559,
+      "learning_rate": 0.00026263200494722487,
+      "loss": 3.0332,
+      "step": 41
+    },
+    {
+      "epoch": 0.5813148788927336,
+      "grad_norm": 3.7891201972961426,
+      "learning_rate": 0.0002602963512089743,
+      "loss": 2.8577,
+      "step": 42
+    },
+    {
+      "epoch": 0.5951557093425606,
+      "grad_norm": 3.1248676776885986,
+      "learning_rate": 0.00025790097005079764,
+      "loss": 2.8053,
+      "step": 43
+    },
+    {
+      "epoch": 0.6089965397923875,
+      "grad_norm": 2.767016649246216,
+      "learning_rate": 0.0002554471586138493,
+      "loss": 2.7561,
+      "step": 44
+    },
+    {
+      "epoch": 0.6228373702422145,
+      "grad_norm": 3.91235089302063,
+      "learning_rate": 0.00025293624568031,
+      "loss": 2.9683,
+      "step": 45
+    },
+    {
+      "epoch": 0.6366782006920415,
+      "grad_norm": 3.9107556343078613,
+      "learning_rate": 0.0002503695909538287,
+      "loss": 2.9184,
+      "step": 46
+    },
+    {
+      "epoch": 0.6505190311418685,
+      "grad_norm": 3.6938490867614746,
+      "learning_rate": 0.0002477485843232183,
+      "loss": 2.7981,
+      "step": 47
+    },
+    {
+      "epoch": 0.6643598615916955,
+      "grad_norm": 1.329195499420166,
+      "learning_rate": 0.0002450746451098065,
+      "loss": 2.7712,
+      "step": 48
+    },
+    {
+      "epoch": 0.6782006920415224,
+      "grad_norm": 1.1611841917037964,
+      "learning_rate": 0.0002423492212988487,
+      "loss": 2.778,
+      "step": 49
+    },
+    {
+      "epoch": 0.6920415224913494,
+      "grad_norm": 2.376075506210327,
+      "learning_rate": 0.00023957378875541792,
+      "loss": 2.6997,
+      "step": 50
+    },
+    {
+      "epoch": 0.6920415224913494,
+      "eval_loss": 0.7010467052459717,
+      "eval_runtime": 5.2581,
+      "eval_samples_per_second": 9.509,
+      "eval_steps_per_second": 1.331,
+      "step": 50
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 145,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 50,
+  "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": 6.94299339522048e+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:cd180cf76d1c604e255248c99d5f420fb14c0ccbe89348725ed1287e2c9f52f6
+size 6840