Training in progress, step 50, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: defog/sqlcoder-7b-2
+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": "defog/sqlcoder-7b-2",
+  "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": [
+    "o_proj",
+    "down_proj",
+    "k_proj",
+    "q_proj",
+    "up_proj",
+    "gate_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:fc8c74d2f3fd7d886437c6ab794b20ef119097132ff05fb9781c982b42da150b
+size 639691872

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ec74bfed063384e8d2add7f3a6b1965cd6561b7b8b7442885eeefd83e2cba285
+size 1279641042

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ab0532b51c73461659e5a108f8f5ba7bee68bf674760687d688bd95627efae6b
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d5335737b4b4d079cdec612fe6ee661ed4d29f9e0e55eb4eada44a9677240228
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,40 @@
+{
+  "additional_special_tokens": [
+    "▁<PRE>",
+    "▁<MID>",
+    "▁<SUF>",
+    "▁<EOT>",
+    "▁<PRE>",
+    "▁<MID>",
+    "▁<SUF>",
+    "▁<EOT>"
+  ],
+  "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 +1,88 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "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
+    },
+    "32007": {
+      "content": "▁<PRE>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32008": {
+      "content": "▁<SUF>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32009": {
+      "content": "▁<MID>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32010": {
+      "content": "▁<EOT>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "▁<PRE>",
+    "▁<MID>",
+    "▁<SUF>",
+    "▁<EOT>",
+    "▁<PRE>",
+    "▁<MID>",
+    "▁<SUF>",
+    "▁<EOT>"
+  ],
+  "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>",
+  "eot_token": "▁<EOT>",
+  "fill_token": "<FILL_ME>",
+  "legacy": null,
+  "middle_token": "▁<MID>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "prefix_token": "▁<PRE>",
+  "sp_model_kwargs": {},
+  "suffix_token": "▁<SUF>",
+  "tokenizer_class": "CodeLlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,408 @@
+{
+  "best_metric": 0.8451602458953857,
+  "best_model_checkpoint": "miner_id_24/checkpoint-50",
+  "epoch": 0.03277613897082924,
+  "eval_steps": 50,
+  "global_step": 50,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0006555227794165847,
+      "grad_norm": 0.235550656914711,
+      "learning_rate": 5e-06,
+      "loss": 0.8465,
+      "step": 1
+    },
+    {
+      "epoch": 0.0006555227794165847,
+      "eval_loss": 1.0142732858657837,
+      "eval_runtime": 197.6114,
+      "eval_samples_per_second": 13.005,
+      "eval_steps_per_second": 6.503,
+      "step": 1
+    },
+    {
+      "epoch": 0.0013110455588331695,
+      "grad_norm": 0.2758314907550812,
+      "learning_rate": 1e-05,
+      "loss": 0.9051,
+      "step": 2
+    },
+    {
+      "epoch": 0.0019665683382497543,
+      "grad_norm": 0.353505939245224,
+      "learning_rate": 1.5e-05,
+      "loss": 0.9246,
+      "step": 3
+    },
+    {
+      "epoch": 0.002622091117666339,
+      "grad_norm": 0.41009101271629333,
+      "learning_rate": 2e-05,
+      "loss": 0.9182,
+      "step": 4
+    },
+    {
+      "epoch": 0.0032776138970829235,
+      "grad_norm": 0.27966585755348206,
+      "learning_rate": 2.5e-05,
+      "loss": 0.8971,
+      "step": 5
+    },
+    {
+      "epoch": 0.003933136676499509,
+      "grad_norm": 0.29553648829460144,
+      "learning_rate": 3e-05,
+      "loss": 0.9396,
+      "step": 6
+    },
+    {
+      "epoch": 0.004588659455916093,
+      "grad_norm": 0.30871671438217163,
+      "learning_rate": 3.5e-05,
+      "loss": 0.9267,
+      "step": 7
+    },
+    {
+      "epoch": 0.005244182235332678,
+      "grad_norm": 0.2765592038631439,
+      "learning_rate": 4e-05,
+      "loss": 0.9701,
+      "step": 8
+    },
+    {
+      "epoch": 0.0058997050147492625,
+      "grad_norm": 0.28029540181159973,
+      "learning_rate": 4.5e-05,
+      "loss": 0.9126,
+      "step": 9
+    },
+    {
+      "epoch": 0.006555227794165847,
+      "grad_norm": 0.2668909430503845,
+      "learning_rate": 5e-05,
+      "loss": 0.9425,
+      "step": 10
+    },
+    {
+      "epoch": 0.007210750573582432,
+      "grad_norm": 0.24829484522342682,
+      "learning_rate": 5.500000000000001e-05,
+      "loss": 0.9111,
+      "step": 11
+    },
+    {
+      "epoch": 0.007866273352999017,
+      "grad_norm": 0.22676482796669006,
+      "learning_rate": 6e-05,
+      "loss": 0.8698,
+      "step": 12
+    },
+    {
+      "epoch": 0.008521796132415601,
+      "grad_norm": 0.2559908330440521,
+      "learning_rate": 6.500000000000001e-05,
+      "loss": 0.8578,
+      "step": 13
+    },
+    {
+      "epoch": 0.009177318911832186,
+      "grad_norm": 0.25041428208351135,
+      "learning_rate": 7e-05,
+      "loss": 0.8731,
+      "step": 14
+    },
+    {
+      "epoch": 0.00983284169124877,
+      "grad_norm": 0.25653332471847534,
+      "learning_rate": 7.500000000000001e-05,
+      "loss": 0.8058,
+      "step": 15
+    },
+    {
+      "epoch": 0.010488364470665356,
+      "grad_norm": 0.26476186513900757,
+      "learning_rate": 8e-05,
+      "loss": 0.8617,
+      "step": 16
+    },
+    {
+      "epoch": 0.011143887250081941,
+      "grad_norm": 0.27621665596961975,
+      "learning_rate": 8.5e-05,
+      "loss": 0.8623,
+      "step": 17
+    },
+    {
+      "epoch": 0.011799410029498525,
+      "grad_norm": 0.2501699924468994,
+      "learning_rate": 9e-05,
+      "loss": 0.8358,
+      "step": 18
+    },
+    {
+      "epoch": 0.01245493280891511,
+      "grad_norm": 0.2805434465408325,
+      "learning_rate": 9.5e-05,
+      "loss": 0.8303,
+      "step": 19
+    },
+    {
+      "epoch": 0.013110455588331694,
+      "grad_norm": 0.26726552844047546,
+      "learning_rate": 0.0001,
+      "loss": 0.8374,
+      "step": 20
+    },
+    {
+      "epoch": 0.01376597836774828,
+      "grad_norm": 0.25650665163993835,
+      "learning_rate": 9.999238475781957e-05,
+      "loss": 0.809,
+      "step": 21
+    },
+    {
+      "epoch": 0.014421501147164863,
+      "grad_norm": 0.2529831528663635,
+      "learning_rate": 9.99695413509548e-05,
+      "loss": 0.8062,
+      "step": 22
+    },
+    {
+      "epoch": 0.015077023926581449,
+      "grad_norm": 0.2601158320903778,
+      "learning_rate": 9.99314767377287e-05,
+      "loss": 0.8543,
+      "step": 23
+    },
+    {
+      "epoch": 0.015732546705998034,
+      "grad_norm": 0.22991959750652313,
+      "learning_rate": 9.987820251299122e-05,
+      "loss": 0.8133,
+      "step": 24
+    },
+    {
+      "epoch": 0.01638806948541462,
+      "grad_norm": 0.2492550164461136,
+      "learning_rate": 9.980973490458728e-05,
+      "loss": 0.8063,
+      "step": 25
+    },
+    {
+      "epoch": 0.017043592264831202,
+      "grad_norm": 0.24826645851135254,
+      "learning_rate": 9.972609476841367e-05,
+      "loss": 0.793,
+      "step": 26
+    },
+    {
+      "epoch": 0.017699115044247787,
+      "grad_norm": 0.24337033927440643,
+      "learning_rate": 9.962730758206611e-05,
+      "loss": 0.8356,
+      "step": 27
+    },
+    {
+      "epoch": 0.018354637823664373,
+      "grad_norm": 0.24566523730754852,
+      "learning_rate": 9.951340343707852e-05,
+      "loss": 0.8135,
+      "step": 28
+    },
+    {
+      "epoch": 0.01901016060308096,
+      "grad_norm": 0.23468296229839325,
+      "learning_rate": 9.938441702975689e-05,
+      "loss": 0.816,
+      "step": 29
+    },
+    {
+      "epoch": 0.01966568338249754,
+      "grad_norm": 0.2509690225124359,
+      "learning_rate": 9.924038765061042e-05,
+      "loss": 0.7622,
+      "step": 30
+    },
+    {
+      "epoch": 0.020321206161914126,
+      "grad_norm": 0.2616191804409027,
+      "learning_rate": 9.908135917238321e-05,
+      "loss": 0.7873,
+      "step": 31
+    },
+    {
+      "epoch": 0.02097672894133071,
+      "grad_norm": 0.2554737329483032,
+      "learning_rate": 9.890738003669029e-05,
+      "loss": 0.7737,
+      "step": 32
+    },
+    {
+      "epoch": 0.021632251720747297,
+      "grad_norm": 0.26420480012893677,
+      "learning_rate": 9.871850323926177e-05,
+      "loss": 0.8324,
+      "step": 33
+    },
+    {
+      "epoch": 0.022287774500163882,
+      "grad_norm": 0.287476509809494,
+      "learning_rate": 9.851478631379982e-05,
+      "loss": 0.7953,
+      "step": 34
+    },
+    {
+      "epoch": 0.022943297279580464,
+      "grad_norm": 0.2667132318019867,
+      "learning_rate": 9.829629131445342e-05,
+      "loss": 0.7759,
+      "step": 35
+    },
+    {
+      "epoch": 0.02359882005899705,
+      "grad_norm": 0.26211854815483093,
+      "learning_rate": 9.806308479691595e-05,
+      "loss": 0.7792,
+      "step": 36
+    },
+    {
+      "epoch": 0.024254342838413635,
+      "grad_norm": 0.2618478834629059,
+      "learning_rate": 9.781523779815179e-05,
+      "loss": 0.7601,
+      "step": 37
+    },
+    {
+      "epoch": 0.02490986561783022,
+      "grad_norm": 0.2587236762046814,
+      "learning_rate": 9.755282581475769e-05,
+      "loss": 0.7905,
+      "step": 38
+    },
+    {
+      "epoch": 0.025565388397246803,
+      "grad_norm": 0.2682913541793823,
+      "learning_rate": 9.727592877996585e-05,
+      "loss": 0.7605,
+      "step": 39
+    },
+    {
+      "epoch": 0.02622091117666339,
+      "grad_norm": 0.3010149300098419,
+      "learning_rate": 9.698463103929542e-05,
+      "loss": 0.8133,
+      "step": 40
+    },
+    {
+      "epoch": 0.026876433956079974,
+      "grad_norm": 0.269761860370636,
+      "learning_rate": 9.667902132486009e-05,
+      "loss": 0.7322,
+      "step": 41
+    },
+    {
+      "epoch": 0.02753195673549656,
+      "grad_norm": 0.3124874234199524,
+      "learning_rate": 9.635919272833938e-05,
+      "loss": 0.7736,
+      "step": 42
+    },
+    {
+      "epoch": 0.028187479514913145,
+      "grad_norm": 0.35831648111343384,
+      "learning_rate": 9.602524267262203e-05,
+      "loss": 0.756,
+      "step": 43
+    },
+    {
+      "epoch": 0.028843002294329727,
+      "grad_norm": 0.3162555992603302,
+      "learning_rate": 9.567727288213005e-05,
+      "loss": 0.7631,
+      "step": 44
+    },
+    {
+      "epoch": 0.029498525073746312,
+      "grad_norm": 0.3109850585460663,
+      "learning_rate": 9.53153893518325e-05,
+      "loss": 0.7962,
+      "step": 45
+    },
+    {
+      "epoch": 0.030154047853162898,
+      "grad_norm": 0.4582791030406952,
+      "learning_rate": 9.493970231495835e-05,
+      "loss": 0.8059,
+      "step": 46
+    },
+    {
+      "epoch": 0.030809570632579483,
+      "grad_norm": 0.6955217123031616,
+      "learning_rate": 9.45503262094184e-05,
+      "loss": 0.743,
+      "step": 47
+    },
+    {
+      "epoch": 0.03146509341199607,
+      "grad_norm": 0.4150660037994385,
+      "learning_rate": 9.414737964294636e-05,
+      "loss": 0.7962,
+      "step": 48
+    },
+    {
+      "epoch": 0.032120616191412654,
+      "grad_norm": 0.6555883288383484,
+      "learning_rate": 9.373098535696979e-05,
+      "loss": 0.7481,
+      "step": 49
+    },
+    {
+      "epoch": 0.03277613897082924,
+      "grad_norm": 0.8971114158630371,
+      "learning_rate": 9.330127018922194e-05,
+      "loss": 0.7733,
+      "step": 50
+    },
+    {
+      "epoch": 0.03277613897082924,
+      "eval_loss": 0.8451602458953857,
+      "eval_runtime": 198.9823,
+      "eval_samples_per_second": 12.916,
+      "eval_steps_per_second": 6.458,
+      "step": 50
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 200,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "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": 6.685806012294758e+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:eda0fef61518551212a3ed0249d8681bd6c48dd1c0890face790a377bf561587
+size 6840