Training in progress, step 25, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: NousResearch/CodeLlama-13b-hf
+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/CodeLlama-13b-hf",
+  "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": [
+    "up_proj",
+    "gate_proj",
+    "down_proj",
+    "o_proj",
+    "q_proj",
+    "k_proj",
+    "v_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 sha256:23666c717ba330e20b886de08fcf65b9f88db3a12ba658c22c381734c6d625eb
+size 250422888

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:21f738dd2229fa2785df83eb5562bbfa2714ed93f0042b770e342423ec980612
+size 501168482

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:399f4300e86eac772c2e46dc0bc520439cb85ab9dbbd73bd0ad5009da807761b
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8c931ece4da598a541d357f6c98f67481603252e193960022d37ddd49c584b1f
+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": "</s>",
+    "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 sha256:45ccb9c8b6b561889acea59191d66986d314e7cbd6a78abc6e49b139ca91c1e6
+size 500058

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": 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": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,232 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.008404773911581778,
+  "eval_steps": 9,
+  "global_step": 25,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.00033619095646327115,
+      "grad_norm": 0.10730858892202377,
+      "learning_rate": 1e-05,
+      "loss": 1.2476,
+      "step": 1
+    },
+    {
+      "epoch": 0.00033619095646327115,
+      "eval_loss": 0.4694666266441345,
+      "eval_runtime": 519.4413,
+      "eval_samples_per_second": 4.822,
+      "eval_steps_per_second": 0.604,
+      "step": 1
+    },
+    {
+      "epoch": 0.0006723819129265423,
+      "grad_norm": 0.1259564310312271,
+      "learning_rate": 2e-05,
+      "loss": 1.1416,
+      "step": 2
+    },
+    {
+      "epoch": 0.0010085728693898135,
+      "grad_norm": 0.14729371666908264,
+      "learning_rate": 3e-05,
+      "loss": 0.8194,
+      "step": 3
+    },
+    {
+      "epoch": 0.0013447638258530846,
+      "grad_norm": 0.12723466753959656,
+      "learning_rate": 4e-05,
+      "loss": 0.7933,
+      "step": 4
+    },
+    {
+      "epoch": 0.0016809547823163557,
+      "grad_norm": 0.09622741490602493,
+      "learning_rate": 5e-05,
+      "loss": 0.8939,
+      "step": 5
+    },
+    {
+      "epoch": 0.002017145738779627,
+      "grad_norm": 0.12448238581418991,
+      "learning_rate": 6e-05,
+      "loss": 1.1703,
+      "step": 6
+    },
+    {
+      "epoch": 0.002353336695242898,
+      "grad_norm": 0.12984026968479156,
+      "learning_rate": 7e-05,
+      "loss": 1.0056,
+      "step": 7
+    },
+    {
+      "epoch": 0.002689527651706169,
+      "grad_norm": 0.10037598758935928,
+      "learning_rate": 8e-05,
+      "loss": 1.0172,
+      "step": 8
+    },
+    {
+      "epoch": 0.0030257186081694403,
+      "grad_norm": 0.16960003972053528,
+      "learning_rate": 9e-05,
+      "loss": 0.9901,
+      "step": 9
+    },
+    {
+      "epoch": 0.0030257186081694403,
+      "eval_loss": 0.45871731638908386,
+      "eval_runtime": 520.5305,
+      "eval_samples_per_second": 4.812,
+      "eval_steps_per_second": 0.603,
+      "step": 9
+    },
+    {
+      "epoch": 0.0033619095646327114,
+      "grad_norm": 0.11391803622245789,
+      "learning_rate": 0.0001,
+      "loss": 0.747,
+      "step": 10
+    },
+    {
+      "epoch": 0.0036981005210959825,
+      "grad_norm": 0.12835194170475006,
+      "learning_rate": 9.99695413509548e-05,
+      "loss": 0.8036,
+      "step": 11
+    },
+    {
+      "epoch": 0.004034291477559254,
+      "grad_norm": 0.15800194442272186,
+      "learning_rate": 9.987820251299122e-05,
+      "loss": 0.821,
+      "step": 12
+    },
+    {
+      "epoch": 0.004370482434022525,
+      "grad_norm": 0.1520373374223709,
+      "learning_rate": 9.972609476841367e-05,
+      "loss": 1.1576,
+      "step": 13
+    },
+    {
+      "epoch": 0.004706673390485796,
+      "grad_norm": 0.11342062056064606,
+      "learning_rate": 9.951340343707852e-05,
+      "loss": 0.8558,
+      "step": 14
+    },
+    {
+      "epoch": 0.005042864346949067,
+      "grad_norm": 0.1125694215297699,
+      "learning_rate": 9.924038765061042e-05,
+      "loss": 0.809,
+      "step": 15
+    },
+    {
+      "epoch": 0.005379055303412338,
+      "grad_norm": 0.09935540705919266,
+      "learning_rate": 9.890738003669029e-05,
+      "loss": 0.8306,
+      "step": 16
+    },
+    {
+      "epoch": 0.005715246259875609,
+      "grad_norm": 0.10935939103364944,
+      "learning_rate": 9.851478631379982e-05,
+      "loss": 0.9415,
+      "step": 17
+    },
+    {
+      "epoch": 0.006051437216338881,
+      "grad_norm": 0.1281980276107788,
+      "learning_rate": 9.806308479691595e-05,
+      "loss": 1.0971,
+      "step": 18
+    },
+    {
+      "epoch": 0.006051437216338881,
+      "eval_loss": 0.4295453429222107,
+      "eval_runtime": 520.1874,
+      "eval_samples_per_second": 4.816,
+      "eval_steps_per_second": 0.604,
+      "step": 18
+    },
+    {
+      "epoch": 0.006387628172802151,
+      "grad_norm": 0.14010263979434967,
+      "learning_rate": 9.755282581475769e-05,
+      "loss": 0.8776,
+      "step": 19
+    },
+    {
+      "epoch": 0.006723819129265423,
+      "grad_norm": 0.13674810528755188,
+      "learning_rate": 9.698463103929542e-05,
+      "loss": 0.9476,
+      "step": 20
+    },
+    {
+      "epoch": 0.0070600100857286935,
+      "grad_norm": 0.1213589459657669,
+      "learning_rate": 9.635919272833938e-05,
+      "loss": 0.8023,
+      "step": 21
+    },
+    {
+      "epoch": 0.007396201042191965,
+      "grad_norm": 0.11117886006832123,
+      "learning_rate": 9.567727288213005e-05,
+      "loss": 0.8448,
+      "step": 22
+    },
+    {
+      "epoch": 0.0077323919986552365,
+      "grad_norm": 0.17285647988319397,
+      "learning_rate": 9.493970231495835e-05,
+      "loss": 0.9852,
+      "step": 23
+    },
+    {
+      "epoch": 0.008068582955118508,
+      "grad_norm": 0.14396902918815613,
+      "learning_rate": 9.414737964294636e-05,
+      "loss": 0.837,
+      "step": 24
+    },
+    {
+      "epoch": 0.008404773911581778,
+      "grad_norm": 0.17633315920829773,
+      "learning_rate": 9.330127018922194e-05,
+      "loss": 0.9313,
+      "step": 25
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 100,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 25,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 3.1739149811712e+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:ca217a8c0bdfc676c0ebe0285cbd7cbbf9688e774a423c761f66f910d36539b4
+size 6776