| --- |
| library_name: peft |
| pipeline_tag: text-classification |
| license: apache-2.0 |
| tags: |
| - peft |
| - lora |
| - dora |
| - lora+ |
| - dora+ |
| - adalora |
| - qlora |
| - text-classification |
| - intent-classification |
| --- |
| |
| # Intent Classifier Experiments |
|
|
| This Hugging Face repo stores all experiment-time adapter artifacts for the |
| intent-classifier project. |
| In the finetuned models under v1.0 - we were predicting the tool name, while |
| from v2.0 we are now predicting the tool id. |
| The v2.1 set is the final artifact set for this repository and is expected to |
| remain unchanged for the foreseeable future. |
|
|
| ## Purpose |
|
|
| - Keep every adapter checkpoint produced during fine-tuning. |
| - Preserve per-experiment traceability across versions. |
| - Preserve the final v2.1 adapter artifacts alongside the earlier experiments. |
| - Keep release models separate from this artifact repository. |
|
|
| ## Layout |
|
|
| - `v1.0/`, `v2.0/`, and `v2.1/` each contain one folder per experiment run. |
| - Folder naming format: |
| `{model}_{technique}_{config}_{dataset_size}_{YYYYMMDD-HHMMSS}` |
|
|
| Each experiment folder can include: |
|
|
| - adapter weights |
| - tokenizer/config files |
| - metadata and training outputs |
|
|
| ## v2.0 experiment set |
|
|
| The v2.0 experiment set is complete. It contains 95 runs, all using the `1k` |
| dataset-size setting, produced between 2026-08-25 and 2026-08-27. |
|
|
| - Base models: Qwen 2.5 0.5B, Qwen3 0.6B, Llama 3.2 1B, SmolLM2 360M, and |
| SmolLM2 1.7B |
| - Adapter techniques explored: LoRA, DoRA, LoRA+, DoRA+, AdaLoRA, and QLoRA |
| - Configurations: A through D, where applicable |
|
|
| These are experiment artifacts, not production recommendations. Evaluation, |
| comparison, and promotion decisions are maintained in the inference/benchmarking |
| and release repositories below. |
|
|
| ## v2.1 experiment set |
|
|
| The v2.1 set is final for this repository (as of the foreseeable future). |
| It contains three runs using the `10k` dataset-size setting, |
| produced between 2026-08-27 and 2026-08-28. |
|
|
| - Base models: Qwen 2.5 0.5B, Qwen3 0.6B, and SmolLM2 360M |
| - Adapter technique: DoRA+ |
| - Configuration: D |
|
|
| These final artifacts are retained for traceability and reproducibility; model |
| evaluation and release selection are maintained in the related repositories |
| below. |
|
|
| ## Related repositories |
|
|
| Training code and release models are maintained separately. |
|
|
| - Training code: <https://github.com/kon171verma/intent-classifier> |
| - Inference/benchmarking: <https://github.com/kon171verma/intent-classifier-edge-inference> |
| - Release: <https://huggingface.co/kon171verma/intent-classifier> |
|
|
| ## Versioning |
|
|
| Experiment folders are grouped by release version (for example, v1.0). v2.1 is |
| the final version in this repository for the foreseeable future. Selected models |
| are promoted separately to the release repo. |
|
|
