Training in progress, step 20

README.md

@@ -1,63 +1,207 @@
 ---
-library_name: peft
-license: apache-2.0
 base_model: Qwen/Qwen3-Coder-30B-A3B-Instruct
+library_name: peft
+pipeline_tag: text-generation
 tags:
 - base_model:adapter:Qwen/Qwen3-Coder-30B-A3B-Instruct
 - lora
 - transformers
-pipeline_tag: text-generation
-model-index:
-- name: SFT-Qwen3-Coder-30B
-  results: []
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
+# 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:**
 
-# SFT-Qwen3-Coder-30B
+[More Information Needed]
 
-This model is a fine-tuned version of [Qwen/Qwen3-Coder-30B-A3B-Instruct](https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct) on the None dataset.
-It achieves the following results on the evaluation set:
-- eval_loss: 0.9453
-- eval_runtime: 226.4538
-- eval_samples_per_second: 0.521
-- eval_steps_per_second: 0.066
-- epoch: 0.3347
-- step: 20
+**APA:**
 
-## Model description
+[More Information Needed]
 
-More information needed
+## Glossary [optional]
 
-## Intended uses & limitations
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
 
-More information needed
+[More Information Needed]
 
-## Training and evaluation data
+## More Information [optional]
 
-More information needed
+[More Information Needed]
 
-## Training procedure
+## Model Card Authors [optional]
 
-### Training hyperparameters
+[More Information Needed]
 
-The following hyperparameters were used during training:
-- learning_rate: 0.0001
-- train_batch_size: 2
-- eval_batch_size: 8
-- seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 8
-- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_ratio: 0.03
-- num_epochs: 5
+## Model Card Contact
 
+[More Information Needed]
 ### Framework versions
 
-- PEFT 0.18.0
-- Transformers 4.57.1
-- Pytorch 2.8.0+cu126
-- Datasets 4.4.1
-- Tokenizers 0.22.1
+- PEFT 0.18.0

adapter_config.json

@@ -29,13 +29,13 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
+    "k_proj",
+    "v_proj",
     "o_proj",
     "up_proj",
-    "q_proj",
     "down_proj",
     "gate_proj",
-    "k_proj",
-    "v_proj"
+    "q_proj"
   ],
   "target_parameters": null,
   "task_type": "CAUSAL_LM",

adapter_model.safetensors

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trainer_state.json

@@ -1,39 +1,16 @@
 {
-  "best_global_step": 20,
-  "best_metric": 0.945307731628418,
-  "best_model_checkpoint": "j05hr3d/SFT-Qwen3-Coder-30B/checkpoint-20",
-  "epoch": 0.6694560669456067,
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.044859813084112146,
   "eval_steps": 20,
-  "global_step": 40,
+  "global_step": 3,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
-  "log_history": [
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-      "grad_norm": 0.2103523313999176,
-      "learning_rate": 9.656357388316152e-05,
-      "loss": 0.9679,
-      "step": 20
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-    {
-      "epoch": 0.33472803347280333,
-      "eval_loss": 0.945307731628418,
-      "eval_runtime": 226.4538,
-      "eval_samples_per_second": 0.521,
-      "eval_steps_per_second": 0.066,
-      "step": 20
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-    {
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-      "grad_norm": 0.3507266640663147,
-      "learning_rate": 8.969072164948454e-05,
-      "loss": 0.7613,
-      "step": 40
-    }
-  ],
+  "log_history": [],
   "logging_steps": 20,
-  "max_steps": 300,
+  "max_steps": 335,
   "num_input_tokens_seen": 0,
   "num_train_epochs": 5,
   "save_steps": 20,
@@ -52,14 +29,14 @@
         "should_epoch_stop": false,
         "should_evaluate": false,
         "should_log": false,
-        "should_save": true,
+        "should_save": false,
         "should_training_stop": false
       },
       "attributes": {}
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   },
-  "total_flos": 6.751091897371853e+16,
-  "train_batch_size": 2,
+  "total_flos": 0,
+  "train_batch_size": 1,
   "trial_name": null,
   "trial_params": null
 }

training_args.bin

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