Training in progress, step 25, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: Qwen/Qwen1.5-0.5B
+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": "Qwen/Qwen1.5-0.5B",
+  "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": [
+    "q_proj",
+    "down_proj",
+    "gate_proj",
+    "o_proj",
+    "k_proj",
+    "v_proj",
+    "up_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:be997b47917b14c40139e581ae358cd9bf6d4996282a89ded8c6d24c29c5e36a
+size 30322120

last-checkpoint/added_tokens.json

@@ -0,0 +1,5 @@
+{
+  "<|endoftext|>": 151643,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644
+}

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:269b9c5cb23a86da6e27220196a82c631d8af5b0871c794426d84ca2feecd230
+size 60837186

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf03b812cd611b2c4a6d61ada30b06d0cb846c1ab95bb1f1008815dad23b71b6
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9ea7ff16b0c30a914eb0d145e3fb06ff9027c6cd2408e766ce8a09accab89a4d
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,20 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

last-checkpoint/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bcfe42da0a4497e8b2b172c1f9f4ec423a46dc12907f4349c55025f670422ba9
+size 11418266

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,43 @@
+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "bos_token": null,
+  "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": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 32768,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,233 @@
+{
+  "best_metric": 0.1716570109128952,
+  "best_model_checkpoint": "miner_id_24/checkpoint-25",
+  "epoch": 0.01638001638001638,
+  "eval_steps": 25,
+  "global_step": 25,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0006552006552006552,
+      "grad_norm": 25.569299697875977,
+      "learning_rate": 0.0001,
+      "loss": 3.8904,
+      "step": 1
+    },
+    {
+      "epoch": 0.0006552006552006552,
+      "eval_loss": 4.842487335205078,
+      "eval_runtime": 47.8134,
+      "eval_samples_per_second": 13.448,
+      "eval_steps_per_second": 6.735,
+      "step": 1
+    },
+    {
+      "epoch": 0.0013104013104013104,
+      "grad_norm": 26.99811553955078,
+      "learning_rate": 0.0002,
+      "loss": 3.7983,
+      "step": 2
+    },
+    {
+      "epoch": 0.0019656019656019656,
+      "grad_norm": 18.86760902404785,
+      "learning_rate": 0.00019978589232386035,
+      "loss": 3.2163,
+      "step": 3
+    },
+    {
+      "epoch": 0.002620802620802621,
+      "grad_norm": 8.032041549682617,
+      "learning_rate": 0.00019914448613738106,
+      "loss": 1.312,
+      "step": 4
+    },
+    {
+      "epoch": 0.003276003276003276,
+      "grad_norm": 12.221858024597168,
+      "learning_rate": 0.00019807852804032305,
+      "loss": 1.5404,
+      "step": 5
+    },
+    {
+      "epoch": 0.003931203931203931,
+      "grad_norm": 6.73016357421875,
+      "learning_rate": 0.00019659258262890683,
+      "loss": 0.7534,
+      "step": 6
+    },
+    {
+      "epoch": 0.004586404586404586,
+      "grad_norm": 5.138332366943359,
+      "learning_rate": 0.0001946930129495106,
+      "loss": 0.5106,
+      "step": 7
+    },
+    {
+      "epoch": 0.005241605241605242,
+      "grad_norm": 3.2426226139068604,
+      "learning_rate": 0.0001923879532511287,
+      "loss": 0.2306,
+      "step": 8
+    },
+    {
+      "epoch": 0.005896805896805897,
+      "grad_norm": 2.5002543926239014,
+      "learning_rate": 0.00018968727415326884,
+      "loss": 0.2208,
+      "step": 9
+    },
+    {
+      "epoch": 0.006552006552006552,
+      "grad_norm": 3.1149609088897705,
+      "learning_rate": 0.00018660254037844388,
+      "loss": 0.1595,
+      "step": 10
+    },
+    {
+      "epoch": 0.007207207207207207,
+      "grad_norm": 5.99144983291626,
+      "learning_rate": 0.00018314696123025454,
+      "loss": 0.2541,
+      "step": 11
+    },
+    {
+      "epoch": 0.007862407862407862,
+      "grad_norm": 2.8587491512298584,
+      "learning_rate": 0.00017933533402912354,
+      "loss": 0.0591,
+      "step": 12
+    },
+    {
+      "epoch": 0.008517608517608518,
+      "grad_norm": 7.1438446044921875,
+      "learning_rate": 0.00017518398074789775,
+      "loss": 0.1592,
+      "step": 13
+    },
+    {
+      "epoch": 0.009172809172809172,
+      "grad_norm": 6.31621789932251,
+      "learning_rate": 0.00017071067811865476,
+      "loss": 0.0789,
+      "step": 14
+    },
+    {
+      "epoch": 0.009828009828009828,
+      "grad_norm": 0.5160434246063232,
+      "learning_rate": 0.00016593458151000688,
+      "loss": 0.0066,
+      "step": 15
+    },
+    {
+      "epoch": 0.010483210483210484,
+      "grad_norm": 0.10023625195026398,
+      "learning_rate": 0.00016087614290087208,
+      "loss": 0.001,
+      "step": 16
+    },
+    {
+      "epoch": 0.011138411138411138,
+      "grad_norm": 10.3001127243042,
+      "learning_rate": 0.00015555702330196023,
+      "loss": 0.1524,
+      "step": 17
+    },
+    {
+      "epoch": 0.011793611793611793,
+      "grad_norm": 3.8258275985717773,
+      "learning_rate": 0.00015000000000000001,
+      "loss": 0.0286,
+      "step": 18
+    },
+    {
+      "epoch": 0.012448812448812449,
+      "grad_norm": 5.547224044799805,
+      "learning_rate": 0.00014422886902190014,
+      "loss": 0.0208,
+      "step": 19
+    },
+    {
+      "epoch": 0.013104013104013105,
+      "grad_norm": 0.06522075831890106,
+      "learning_rate": 0.000138268343236509,
+      "loss": 0.0004,
+      "step": 20
+    },
+    {
+      "epoch": 0.013759213759213759,
+      "grad_norm": 0.010205689817667007,
+      "learning_rate": 0.00013214394653031616,
+      "loss": 0.0001,
+      "step": 21
+    },
+    {
+      "epoch": 0.014414414414414415,
+      "grad_norm": 0.13218703866004944,
+      "learning_rate": 0.00012588190451025207,
+      "loss": 0.0004,
+      "step": 22
+    },
+    {
+      "epoch": 0.01506961506961507,
+      "grad_norm": 0.078118696808815,
+      "learning_rate": 0.00011950903220161285,
+      "loss": 0.0005,
+      "step": 23
+    },
+    {
+      "epoch": 0.015724815724815724,
+      "grad_norm": 11.428861618041992,
+      "learning_rate": 0.00011305261922200519,
+      "loss": 0.3499,
+      "step": 24
+    },
+    {
+      "epoch": 0.01638001638001638,
+      "grad_norm": 0.003702717600390315,
+      "learning_rate": 0.00010654031292301432,
+      "loss": 0.0,
+      "step": 25
+    },
+    {
+      "epoch": 0.01638001638001638,
+      "eval_loss": 0.1716570109128952,
+      "eval_runtime": 47.4703,
+      "eval_samples_per_second": 13.545,
+      "eval_steps_per_second": 6.783,
+      "step": 25
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 50,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 25,
+  "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": 1553078629171200.0,
+  "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 sha256:62a66188f607e89b1d405383ca5b68d4ff545683f60b7d7171b5d99d48d17573
+size 6776