checkpoint-50

verifier-qwen3.5-2b-v2/checkpoint-50/README.md

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+---
+base_model: Qwen/Qwen3.5-2B
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3.5-2B
+- lora
+- transformers
+---
+
+# 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 0.21.0

verifier-qwen3.5-2b-v2/checkpoint-50/adapter_config.json

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+  "use_qalora": false,
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+}

verifier-qwen3.5-2b-v2/checkpoint-50/adapter_model.safetensors

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verifier-qwen3.5-2b-v2/checkpoint-50/trainer_state.json

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verifier-qwen3.5-2b-v2/checkpoint-50/training_args.bin

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verifier-qwen3.5-2b-v2/config.yaml

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+model_id: Qwen/Qwen3.5-2B
+output_dir: ./outputs/verifier-qwen3.5-2b-v2
+max_length: 512
+data:
+  sources:
+    train: outputs/edit/verifier/train.jsonl
+    validation: outputs/edit/verifier/validation.jsonl
+    calibration: outputs/edit/verifier/calibration.jsonl
+  hub_repo: PedramR/ASR_Post-processing
+  hub_folder: datasets/verifier-v2
+training:
+  num_train_epochs: 2.0
+  max_steps: -1
+  per_device_train_batch_size: 8
+  per_device_eval_batch_size: 8
+  gradient_accumulation_steps: 2
+  learning_rate: 0.0001
+  warmup_ratio: 0.05
+  lr_scheduler_type: linear
+  logging_steps: 10
+  eval_steps: 50
+  save_steps: 50
+  save_total_limit: 2
+  seed: 42
+lora:
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+  alpha: 64
+  dropout: 0.05
+hub:
+  push_to_hub: true
+  repo_id: PedramR/ASR_Post-processing
+  folder: verifier-qwen3.5-2b-v2
+  private: true
+tensorboard:
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+eval:
+  test_dataset_id: ErfanRou/callcc-test-1k
+  slices_dataset_id: PedramR/ASR_Post-processing-eval
+  corpus_freq_repo: PedramR/ASR_Post-processing-dataset
+  entities_dir: data/output-backup
+  max_examples: null
+  candidates_repo: PedramR/ASR_Post-processing
+  candidates_file: qwen3.5-2b-100pct-masked-weighted-v2/test_eval_best/predictions.jsonl
+  context_words: 12
+  max_span_words: 4
+  threshold: 0.5
+  thresholds:
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+  - 0.5
+  - 0.7
+  - 0.8
+  - 0.9
+  - 0.95
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