Instructions to use kon171verma/intent-classifier-experiments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kon171verma/intent-classifier-experiments with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Commit ·
dbef2ee
1
Parent(s): 381a6fc
updated readme
Browse files
README.md
CHANGED
|
@@ -7,7 +7,7 @@ tags:
|
|
| 7 |
- lora
|
| 8 |
- dora
|
| 9 |
- lora+
|
| 10 |
-
- dora
|
| 11 |
- adalora
|
| 12 |
- qlora
|
| 13 |
- text-classification
|
|
@@ -27,10 +27,9 @@ intent-classifier project.
|
|
| 27 |
|
| 28 |
## Layout
|
| 29 |
|
| 30 |
-
- v1.0/
|
| 31 |
-
|
| 32 |
-
-
|
| 33 |
-
- {model}_{technique}_{config}_{dataset_size}_{YYYYMMDD-HHMMSS}
|
| 34 |
|
| 35 |
Each experiment folder can include:
|
| 36 |
|
|
@@ -38,6 +37,20 @@ Each experiment folder can include:
|
|
| 38 |
- tokenizer/config files
|
| 39 |
- metadata and training outputs
|
| 40 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 41 |
## Related repositories
|
| 42 |
|
| 43 |
Training code and release models are maintained separately.
|
|
|
|
| 7 |
- lora
|
| 8 |
- dora
|
| 9 |
- lora+
|
| 10 |
+
- dora+
|
| 11 |
- adalora
|
| 12 |
- qlora
|
| 13 |
- text-classification
|
|
|
|
| 27 |
|
| 28 |
## Layout
|
| 29 |
|
| 30 |
+
- `v1.0/`, `v2.0/` each contain one folder per experiment run.
|
| 31 |
+
- Folder naming format:
|
| 32 |
+
`{model}_{technique}_{config}_{dataset_size}_{YYYYMMDD-HHMMSS}`
|
|
|
|
| 33 |
|
| 34 |
Each experiment folder can include:
|
| 35 |
|
|
|
|
| 37 |
- tokenizer/config files
|
| 38 |
- metadata and training outputs
|
| 39 |
|
| 40 |
+
## v2.0 experiment set
|
| 41 |
+
|
| 42 |
+
The v2.0 experiment set is complete. It contains 95 runs, all using the `1k`
|
| 43 |
+
dataset-size setting, produced between 2026-08-25 and 2026-08-27.
|
| 44 |
+
|
| 45 |
+
- Base models: Qwen 2.5 0.5B, Qwen3 0.6B, Llama 3.2 1B, SmolLM2 360M, and
|
| 46 |
+
SmolLM2 1.7B
|
| 47 |
+
- Adapter techniques explored: LoRA, DoRA, LoRA+, DoRA+, AdaLoRA, and QLoRA
|
| 48 |
+
- Configurations: A through D, where applicable
|
| 49 |
+
|
| 50 |
+
These are experiment artifacts, not production recommendations. Evaluation,
|
| 51 |
+
comparison, and promotion decisions are maintained in the inference/benchmarking
|
| 52 |
+
and release repositories below.
|
| 53 |
+
|
| 54 |
## Related repositories
|
| 55 |
|
| 56 |
Training code and release models are maintained separately.
|