Training in progress, step 30, 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": 16,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "k_proj",
+    "gate_proj",
+    "v_proj",
+    "q_proj",
+    "up_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 sha256:60f84bd2fc97c808af575a0b851b70f214e909bb3b851f244d137598fdb18b85
+size 27024

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5a72600b2013e8fb6a75dd2d9513ec4f9ae4c8992be10fb3b29760c5bceec135
+size 70922

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:372c9c91189dafe7a0013b948ff9907e60fc7ad4b32cc7ac3bccb3f603cf2268
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2def2cd24154d8cecbaa07c36ae27e5ebb9b7273a78abfea27aa67c480e4ae2b
+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 +1,275 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.005264081417792595,
+  "eval_steps": 8,
+  "global_step": 30,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.00017546938059308652,
+      "grad_norm": 0.021896077319979668,
+      "learning_rate": 2e-05,
+      "loss": 10.3889,
+      "step": 1
+    },
+    {
+      "epoch": 0.00017546938059308652,
+      "eval_loss": 10.378170013427734,
+      "eval_runtime": 20.1811,
+      "eval_samples_per_second": 118.923,
+      "eval_steps_per_second": 59.462,
+      "step": 1
+    },
+    {
+      "epoch": 0.00035093876118617303,
+      "grad_norm": 0.02895743027329445,
+      "learning_rate": 4e-05,
+      "loss": 10.3799,
+      "step": 2
+    },
+    {
+      "epoch": 0.0005264081417792595,
+      "grad_norm": 0.03139834105968475,
+      "learning_rate": 6e-05,
+      "loss": 10.3833,
+      "step": 3
+    },
+    {
+      "epoch": 0.0007018775223723461,
+      "grad_norm": 0.03180989623069763,
+      "learning_rate": 8e-05,
+      "loss": 10.3725,
+      "step": 4
+    },
+    {
+      "epoch": 0.0008773469029654326,
+      "grad_norm": 0.04147100821137428,
+      "learning_rate": 0.0001,
+      "loss": 10.3725,
+      "step": 5
+    },
+    {
+      "epoch": 0.001052816283558519,
+      "grad_norm": 0.034542471170425415,
+      "learning_rate": 0.00012,
+      "loss": 10.3629,
+      "step": 6
+    },
+    {
+      "epoch": 0.0012282856641516056,
+      "grad_norm": 0.030410971492528915,
+      "learning_rate": 0.00014,
+      "loss": 10.3853,
+      "step": 7
+    },
+    {
+      "epoch": 0.0014037550447446921,
+      "grad_norm": 0.026322724297642708,
+      "learning_rate": 0.00016,
+      "loss": 10.3725,
+      "step": 8
+    },
+    {
+      "epoch": 0.0014037550447446921,
+      "eval_loss": 10.377918243408203,
+      "eval_runtime": 20.1636,
+      "eval_samples_per_second": 119.026,
+      "eval_steps_per_second": 59.513,
+      "step": 8
+    },
+    {
+      "epoch": 0.0015792244253377786,
+      "grad_norm": 0.023104362189769745,
+      "learning_rate": 0.00018,
+      "loss": 10.3882,
+      "step": 9
+    },
+    {
+      "epoch": 0.001754693805930865,
+      "grad_norm": 0.0319962278008461,
+      "learning_rate": 0.0002,
+      "loss": 10.3865,
+      "step": 10
+    },
+    {
+      "epoch": 0.0019301631865239516,
+      "grad_norm": 0.031027458608150482,
+      "learning_rate": 0.00019876883405951377,
+      "loss": 10.3821,
+      "step": 11
+    },
+    {
+      "epoch": 0.002105632567117038,
+      "grad_norm": 0.04138890653848648,
+      "learning_rate": 0.00019510565162951537,
+      "loss": 10.3692,
+      "step": 12
+    },
+    {
+      "epoch": 0.0022811019477101246,
+      "grad_norm": 0.02614734135568142,
+      "learning_rate": 0.0001891006524188368,
+      "loss": 10.3891,
+      "step": 13
+    },
+    {
+      "epoch": 0.0024565713283032113,
+      "grad_norm": 0.02401694655418396,
+      "learning_rate": 0.00018090169943749476,
+      "loss": 10.3821,
+      "step": 14
+    },
+    {
+      "epoch": 0.0026320407088962976,
+      "grad_norm": 0.03232363983988762,
+      "learning_rate": 0.00017071067811865476,
+      "loss": 10.3736,
+      "step": 15
+    },
+    {
+      "epoch": 0.0028075100894893843,
+      "grad_norm": 0.02802196890115738,
+      "learning_rate": 0.00015877852522924732,
+      "loss": 10.3833,
+      "step": 16
+    },
+    {
+      "epoch": 0.0028075100894893843,
+      "eval_loss": 10.37726879119873,
+      "eval_runtime": 20.1987,
+      "eval_samples_per_second": 118.819,
+      "eval_steps_per_second": 59.41,
+      "step": 16
+    },
+    {
+      "epoch": 0.0029829794700824705,
+      "grad_norm": 0.032058119773864746,
+      "learning_rate": 0.00014539904997395468,
+      "loss": 10.3759,
+      "step": 17
+    },
+    {
+      "epoch": 0.0031584488506755572,
+      "grad_norm": 0.03021497279405594,
+      "learning_rate": 0.00013090169943749476,
+      "loss": 10.3804,
+      "step": 18
+    },
+    {
+      "epoch": 0.0033339182312686435,
+      "grad_norm": 0.02468908578157425,
+      "learning_rate": 0.0001156434465040231,
+      "loss": 10.3832,
+      "step": 19
+    },
+    {
+      "epoch": 0.00350938761186173,
+      "grad_norm": 0.03662308305501938,
+      "learning_rate": 0.0001,
+      "loss": 10.3869,
+      "step": 20
+    },
+    {
+      "epoch": 0.0036848569924548165,
+      "grad_norm": 0.031086675822734833,
+      "learning_rate": 8.435655349597689e-05,
+      "loss": 10.3756,
+      "step": 21
+    },
+    {
+      "epoch": 0.003860326373047903,
+      "grad_norm": 0.030318187549710274,
+      "learning_rate": 6.909830056250527e-05,
+      "loss": 10.372,
+      "step": 22
+    },
+    {
+      "epoch": 0.00403579575364099,
+      "grad_norm": 0.03376461938023567,
+      "learning_rate": 5.4600950026045326e-05,
+      "loss": 10.377,
+      "step": 23
+    },
+    {
+      "epoch": 0.004211265134234076,
+      "grad_norm": 0.02785138599574566,
+      "learning_rate": 4.12214747707527e-05,
+      "loss": 10.3689,
+      "step": 24
+    },
+    {
+      "epoch": 0.004211265134234076,
+      "eval_loss": 10.376875877380371,
+      "eval_runtime": 20.1626,
+      "eval_samples_per_second": 119.032,
+      "eval_steps_per_second": 59.516,
+      "step": 24
+    },
+    {
+      "epoch": 0.0043867345148271624,
+      "grad_norm": 0.02769087813794613,
+      "learning_rate": 2.9289321881345254e-05,
+      "loss": 10.374,
+      "step": 25
+    },
+    {
+      "epoch": 0.004562203895420249,
+      "grad_norm": 0.03563356772065163,
+      "learning_rate": 1.9098300562505266e-05,
+      "loss": 10.38,
+      "step": 26
+    },
+    {
+      "epoch": 0.004737673276013336,
+      "grad_norm": 0.0283515527844429,
+      "learning_rate": 1.0899347581163221e-05,
+      "loss": 10.379,
+      "step": 27
+    },
+    {
+      "epoch": 0.0049131426566064226,
+      "grad_norm": 0.029156768694519997,
+      "learning_rate": 4.8943483704846475e-06,
+      "loss": 10.3778,
+      "step": 28
+    },
+    {
+      "epoch": 0.005088612037199508,
+      "grad_norm": 0.02999081462621689,
+      "learning_rate": 1.231165940486234e-06,
+      "loss": 10.377,
+      "step": 29
+    },
+    {
+      "epoch": 0.005264081417792595,
+      "grad_norm": 0.031297340989112854,
+      "learning_rate": 0.0,
+      "loss": 10.3777,
+      "step": 30
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 30,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 70,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1551708979200.0,
+  "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 sha256:018556eb706255f35327cd7f503bca7e2f49fb29fdf7ea867ba002295f39086f
+size 6712