Training in progress, step 50, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: HuggingFaceH4/tiny-random-LlamaForCausalLM
+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": "HuggingFaceH4/tiny-random-LlamaForCausalLM",
+  "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": [
+    "down_proj",
+    "v_proj",
+    "gate_proj",
+    "up_proj",
+    "o_proj",
+    "k_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 sha256:8b854704872d584ee4c61e671adee045db4a5fed5ca5ff48d4823fe47cfc3b1a
+size 191968

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d414e213ae91e12520263e374671a80b2417316ac98cd0a1ad3169b14540dbdb
+size 253144

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d35d2747337d5d4cbabb6f61bff096bf636cdab3749f4f1235eb6c8c7962a3bd
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d04a8860b1c924211489e9947e1e4a29c68305d52bd97a4e64af32f87a4121e6
+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": "</s>",
+    "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 +1,42 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "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": 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": true,
+  "model_max_length": 2048,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,408 @@
+{
+  "best_metric": 10.346306800842285,
+  "best_model_checkpoint": "miner_id_24/checkpoint-50",
+  "epoch": 0.8163265306122449,
+  "eval_steps": 50,
+  "global_step": 50,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0163265306122449,
+      "grad_norm": 0.050205010920763016,
+      "learning_rate": 1e-05,
+      "loss": 10.3753,
+      "step": 1
+    },
+    {
+      "epoch": 0.0163265306122449,
+      "eval_loss": 10.375219345092773,
+      "eval_runtime": 0.2449,
+      "eval_samples_per_second": 420.6,
+      "eval_steps_per_second": 106.171,
+      "step": 1
+    },
+    {
+      "epoch": 0.0326530612244898,
+      "grad_norm": 0.044851288199424744,
+      "learning_rate": 2e-05,
+      "loss": 10.3798,
+      "step": 2
+    },
+    {
+      "epoch": 0.04897959183673469,
+      "grad_norm": 0.04861590638756752,
+      "learning_rate": 3e-05,
+      "loss": 10.3785,
+      "step": 3
+    },
+    {
+      "epoch": 0.0653061224489796,
+      "grad_norm": 0.043639928102493286,
+      "learning_rate": 4e-05,
+      "loss": 10.3775,
+      "step": 4
+    },
+    {
+      "epoch": 0.08163265306122448,
+      "grad_norm": 0.051335856318473816,
+      "learning_rate": 5e-05,
+      "loss": 10.3733,
+      "step": 5
+    },
+    {
+      "epoch": 0.09795918367346938,
+      "grad_norm": 0.05496537685394287,
+      "learning_rate": 6e-05,
+      "loss": 10.3764,
+      "step": 6
+    },
+    {
+      "epoch": 0.11428571428571428,
+      "grad_norm": 0.0505514033138752,
+      "learning_rate": 7e-05,
+      "loss": 10.3803,
+      "step": 7
+    },
+    {
+      "epoch": 0.1306122448979592,
+      "grad_norm": 0.05127524957060814,
+      "learning_rate": 8e-05,
+      "loss": 10.3811,
+      "step": 8
+    },
+    {
+      "epoch": 0.1469387755102041,
+      "grad_norm": 0.047487691044807434,
+      "learning_rate": 9e-05,
+      "loss": 10.3725,
+      "step": 9
+    },
+    {
+      "epoch": 0.16326530612244897,
+      "grad_norm": 0.046491049230098724,
+      "learning_rate": 0.0001,
+      "loss": 10.3782,
+      "step": 10
+    },
+    {
+      "epoch": 0.17959183673469387,
+      "grad_norm": 0.04878658801317215,
+      "learning_rate": 9.999185052823207e-05,
+      "loss": 10.3787,
+      "step": 11
+    },
+    {
+      "epoch": 0.19591836734693877,
+      "grad_norm": 0.055848926305770874,
+      "learning_rate": 9.996740476948385e-05,
+      "loss": 10.3753,
+      "step": 12
+    },
+    {
+      "epoch": 0.21224489795918366,
+      "grad_norm": 0.05329311639070511,
+      "learning_rate": 9.992667069255619e-05,
+      "loss": 10.3796,
+      "step": 13
+    },
+    {
+      "epoch": 0.22857142857142856,
+      "grad_norm": 0.050566498190164566,
+      "learning_rate": 9.98696615758975e-05,
+      "loss": 10.38,
+      "step": 14
+    },
+    {
+      "epoch": 0.24489795918367346,
+      "grad_norm": 0.051764536648988724,
+      "learning_rate": 9.979639600327522e-05,
+      "loss": 10.3744,
+      "step": 15
+    },
+    {
+      "epoch": 0.2612244897959184,
+      "grad_norm": 0.05875272676348686,
+      "learning_rate": 9.970689785771798e-05,
+      "loss": 10.376,
+      "step": 16
+    },
+    {
+      "epoch": 0.27755102040816326,
+      "grad_norm": 0.04774986580014229,
+      "learning_rate": 9.960119631373022e-05,
+      "loss": 10.3753,
+      "step": 17
+    },
+    {
+      "epoch": 0.2938775510204082,
+      "grad_norm": 0.0570196695625782,
+      "learning_rate": 9.947932582778188e-05,
+      "loss": 10.3729,
+      "step": 18
+    },
+    {
+      "epoch": 0.31020408163265306,
+      "grad_norm": 0.05923503264784813,
+      "learning_rate": 9.934132612707632e-05,
+      "loss": 10.3763,
+      "step": 19
+    },
+    {
+      "epoch": 0.32653061224489793,
+      "grad_norm": 0.06055488437414169,
+      "learning_rate": 9.918724219660013e-05,
+      "loss": 10.3832,
+      "step": 20
+    },
+    {
+      "epoch": 0.34285714285714286,
+      "grad_norm": 0.06134086474776268,
+      "learning_rate": 9.901712426445901e-05,
+      "loss": 10.3731,
+      "step": 21
+    },
+    {
+      "epoch": 0.35918367346938773,
+      "grad_norm": 0.07436655461788177,
+      "learning_rate": 9.883102778550434e-05,
+      "loss": 10.3712,
+      "step": 22
+    },
+    {
+      "epoch": 0.37551020408163266,
+      "grad_norm": 0.06213431432843208,
+      "learning_rate": 9.862901342325617e-05,
+      "loss": 10.3738,
+      "step": 23
+    },
+    {
+      "epoch": 0.39183673469387753,
+      "grad_norm": 0.06576526165008545,
+      "learning_rate": 9.841114703012817e-05,
+      "loss": 10.3741,
+      "step": 24
+    },
+    {
+      "epoch": 0.40816326530612246,
+      "grad_norm": 0.09532579034566879,
+      "learning_rate": 9.817749962596115e-05,
+      "loss": 10.3743,
+      "step": 25
+    },
+    {
+      "epoch": 0.42448979591836733,
+      "grad_norm": 0.07457704097032547,
+      "learning_rate": 9.792814737487207e-05,
+      "loss": 10.3759,
+      "step": 26
+    },
+    {
+      "epoch": 0.44081632653061226,
+      "grad_norm": 0.11138562858104706,
+      "learning_rate": 9.766317156042615e-05,
+      "loss": 10.3786,
+      "step": 27
+    },
+    {
+      "epoch": 0.45714285714285713,
+      "grad_norm": 0.0964929461479187,
+      "learning_rate": 9.738265855914013e-05,
+      "loss": 10.3715,
+      "step": 28
+    },
+    {
+      "epoch": 0.47346938775510206,
+      "grad_norm": 0.13196708261966705,
+      "learning_rate": 9.708669981232541e-05,
+      "loss": 10.3682,
+      "step": 29
+    },
+    {
+      "epoch": 0.4897959183673469,
+      "grad_norm": 0.12368648499250412,
+      "learning_rate": 9.677539179628005e-05,
+      "loss": 10.3747,
+      "step": 30
+    },
+    {
+      "epoch": 0.5061224489795918,
+      "grad_norm": 0.11454851180315018,
+      "learning_rate": 9.644883599083958e-05,
+      "loss": 10.3723,
+      "step": 31
+    },
+    {
+      "epoch": 0.5224489795918368,
+      "grad_norm": 0.13847807049751282,
+      "learning_rate": 9.610713884629666e-05,
+      "loss": 10.3712,
+      "step": 32
+    },
+    {
+      "epoch": 0.5387755102040817,
+      "grad_norm": 0.1434168517589569,
+      "learning_rate": 9.57504117487006e-05,
+      "loss": 10.3741,
+      "step": 33
+    },
+    {
+      "epoch": 0.5551020408163265,
+      "grad_norm": 0.162126824259758,
+      "learning_rate": 9.537877098354786e-05,
+      "loss": 10.3662,
+      "step": 34
+    },
+    {
+      "epoch": 0.5714285714285714,
+      "grad_norm": 0.16199949383735657,
+      "learning_rate": 9.499233769787535e-05,
+      "loss": 10.3667,
+      "step": 35
+    },
+    {
+      "epoch": 0.5877551020408164,
+      "grad_norm": 0.16579224169254303,
+      "learning_rate": 9.459123786076912e-05,
+      "loss": 10.3681,
+      "step": 36
+    },
+    {
+      "epoch": 0.6040816326530613,
+      "grad_norm": 0.1693715900182724,
+      "learning_rate": 9.417560222230115e-05,
+      "loss": 10.3705,
+      "step": 37
+    },
+    {
+      "epoch": 0.6204081632653061,
+      "grad_norm": 0.15202981233596802,
+      "learning_rate": 9.374556627090749e-05,
+      "loss": 10.3636,
+      "step": 38
+    },
+    {
+      "epoch": 0.636734693877551,
+      "grad_norm": 0.2057904303073883,
+      "learning_rate": 9.330127018922194e-05,
+      "loss": 10.3612,
+      "step": 39
+    },
+    {
+      "epoch": 0.6530612244897959,
+      "grad_norm": 0.18371912837028503,
+      "learning_rate": 9.284285880837946e-05,
+      "loss": 10.3599,
+      "step": 40
+    },
+    {
+      "epoch": 0.6693877551020408,
+      "grad_norm": 0.20678555965423584,
+      "learning_rate": 9.237048156080432e-05,
+      "loss": 10.3669,
+      "step": 41
+    },
+    {
+      "epoch": 0.6857142857142857,
+      "grad_norm": 0.2353450506925583,
+      "learning_rate": 9.188429243149824e-05,
+      "loss": 10.3583,
+      "step": 42
+    },
+    {
+      "epoch": 0.7020408163265306,
+      "grad_norm": 0.19554872810840607,
+      "learning_rate": 9.138444990784453e-05,
+      "loss": 10.361,
+      "step": 43
+    },
+    {
+      "epoch": 0.7183673469387755,
+      "grad_norm": 0.19342637062072754,
+      "learning_rate": 9.087111692794459e-05,
+      "loss": 10.3566,
+      "step": 44
+    },
+    {
+      "epoch": 0.7346938775510204,
+      "grad_norm": 0.15865464508533478,
+      "learning_rate": 9.034446082750352e-05,
+      "loss": 10.3539,
+      "step": 45
+    },
+    {
+      "epoch": 0.7510204081632653,
+      "grad_norm": 0.19451335072517395,
+      "learning_rate": 8.980465328528219e-05,
+      "loss": 10.3535,
+      "step": 46
+    },
+    {
+      "epoch": 0.7673469387755102,
+      "grad_norm": 0.1442030668258667,
+      "learning_rate": 8.925187026713362e-05,
+      "loss": 10.3579,
+      "step": 47
+    },
+    {
+      "epoch": 0.7836734693877551,
+      "grad_norm": 0.20288757979869843,
+      "learning_rate": 8.868629196864182e-05,
+      "loss": 10.3546,
+      "step": 48
+    },
+    {
+      "epoch": 0.8,
+      "grad_norm": 0.12481936067342758,
+      "learning_rate": 8.810810275638183e-05,
+      "loss": 10.3541,
+      "step": 49
+    },
+    {
+      "epoch": 0.8163265306122449,
+      "grad_norm": 0.14991497993469238,
+      "learning_rate": 8.751749110782012e-05,
+      "loss": 10.3488,
+      "step": 50
+    },
+    {
+      "epoch": 0.8163265306122449,
+      "eval_loss": 10.346306800842285,
+      "eval_runtime": 0.2428,
+      "eval_samples_per_second": 424.279,
+      "eval_steps_per_second": 107.099,
+      "step": 50
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 184,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 4,
+  "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": 5577533030400.0,
+  "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:c732874747bb6db41a92869255d0f1079a3fd835c1fd22671e49968d12b82f1d
+size 6840