Automatic Speech Recognition
PEFT
Safetensors
Arabic
Moroccan Arabic
asr
darija
moroccan-arabic
speech-recognition
lora
Instructions to use 01Yassine/cohere-transcribe-darija with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 01Yassine/cohere-transcribe-darija with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
| { | |
| "base_model": "CohereLabs/cohere-transcribe-arabic-07-2026", | |
| "recipe": "method", | |
| "lora_scope": "decoder", | |
| "conv_adapter": true, | |
| "language": "ar", | |
| "lora": { | |
| "r": 32, | |
| "lora_alpha": 64, | |
| "lora_dropout": 0.05, | |
| "bias": "none", | |
| "target_kinds": [ | |
| "q_proj", | |
| "k_proj", | |
| "v_proj", | |
| "o_proj" | |
| ] | |
| }, | |
| "lora_targets": [ | |
| "model.decoder.layers.0.self_attn.q_proj", | |
| "model.decoder.layers.0.self_attn.k_proj", | |
| "model.decoder.layers.0.self_attn.v_proj", | |
| "model.decoder.layers.0.self_attn.o_proj", | |
| "model.decoder.layers.0.encoder_attn.q_proj", | |
| "model.decoder.layers.0.encoder_attn.k_proj", | |
| "model.decoder.layers.0.encoder_attn.v_proj", | |
| "model.decoder.layers.0.encoder_attn.o_proj", | |
| "model.decoder.layers.1.self_attn.q_proj", | |
| "model.decoder.layers.1.self_attn.k_proj", | |
| "model.decoder.layers.1.self_attn.v_proj", | |
| "model.decoder.layers.1.self_attn.o_proj", | |
| "model.decoder.layers.1.encoder_attn.q_proj", | |
| "model.decoder.layers.1.encoder_attn.k_proj", | |
| "model.decoder.layers.1.encoder_attn.v_proj", | |
| "model.decoder.layers.1.encoder_attn.o_proj", | |
| "model.decoder.layers.2.self_attn.q_proj", | |
| "model.decoder.layers.2.self_attn.k_proj", | |
| "model.decoder.layers.2.self_attn.v_proj", | |
| "model.decoder.layers.2.self_attn.o_proj", | |
| "model.decoder.layers.2.encoder_attn.q_proj", | |
| "model.decoder.layers.2.encoder_attn.k_proj", | |
| "model.decoder.layers.2.encoder_attn.v_proj", | |
| "model.decoder.layers.2.encoder_attn.o_proj", | |
| "model.decoder.layers.3.self_attn.q_proj", | |
| "model.decoder.layers.3.self_attn.k_proj", | |
| "model.decoder.layers.3.self_attn.v_proj", | |
| "model.decoder.layers.3.self_attn.o_proj", | |
| "model.decoder.layers.3.encoder_attn.q_proj", | |
| "model.decoder.layers.3.encoder_attn.k_proj", | |
| "model.decoder.layers.3.encoder_attn.v_proj", | |
| "model.decoder.layers.3.encoder_attn.o_proj", | |
| "model.decoder.layers.4.self_attn.q_proj", | |
| "model.decoder.layers.4.self_attn.k_proj", | |
| "model.decoder.layers.4.self_attn.v_proj", | |
| "model.decoder.layers.4.self_attn.o_proj", | |
| "model.decoder.layers.4.encoder_attn.q_proj", | |
| "model.decoder.layers.4.encoder_attn.k_proj", | |
| "model.decoder.layers.4.encoder_attn.v_proj", | |
| "model.decoder.layers.4.encoder_attn.o_proj", | |
| "model.decoder.layers.5.self_attn.q_proj", | |
| "model.decoder.layers.5.self_attn.k_proj", | |
| "model.decoder.layers.5.self_attn.v_proj", | |
| "model.decoder.layers.5.self_attn.o_proj", | |
| "model.decoder.layers.5.encoder_attn.q_proj", | |
| "model.decoder.layers.5.encoder_attn.k_proj", | |
| "model.decoder.layers.5.encoder_attn.v_proj", | |
| "model.decoder.layers.5.encoder_attn.o_proj", | |
| "model.decoder.layers.6.self_attn.q_proj", | |
| "model.decoder.layers.6.self_attn.k_proj", | |
| "model.decoder.layers.6.self_attn.v_proj", | |
| "model.decoder.layers.6.self_attn.o_proj", | |
| "model.decoder.layers.6.encoder_attn.q_proj", | |
| "model.decoder.layers.6.encoder_attn.k_proj", | |
| "model.decoder.layers.6.encoder_attn.v_proj", | |
| "model.decoder.layers.6.encoder_attn.o_proj", | |
| "model.decoder.layers.7.self_attn.q_proj", | |
| "model.decoder.layers.7.self_attn.k_proj", | |
| "model.decoder.layers.7.self_attn.v_proj", | |
| "model.decoder.layers.7.self_attn.o_proj", | |
| "model.decoder.layers.7.encoder_attn.q_proj", | |
| "model.decoder.layers.7.encoder_attn.k_proj", | |
| "model.decoder.layers.7.encoder_attn.v_proj", | |
| "model.decoder.layers.7.encoder_attn.o_proj" | |
| ], | |
| "skip_bottom_frac": 0.33, | |
| "n_layers": 48, | |
| "start_layer": 15, | |
| "attached_layers": [ | |
| 15, | |
| 16, | |
| 17, | |
| 18, | |
| 19, | |
| 20, | |
| 21, | |
| 22, | |
| 23, | |
| 24, | |
| 25, | |
| 26, | |
| 27, | |
| 28, | |
| 29, | |
| 30, | |
| 31, | |
| 32, | |
| 33, | |
| 34, | |
| 35, | |
| 36, | |
| 37, | |
| 38, | |
| 39, | |
| 40, | |
| 41, | |
| 42, | |
| 43, | |
| 44, | |
| 45, | |
| 46, | |
| 47 | |
| ], | |
| "d_model": 1280, | |
| "bottleneck": 64, | |
| "kernels": [ | |
| 7, | |
| 15, | |
| 23, | |
| 31 | |
| ], | |
| "fusion": "concat_fusion", | |
| "merge_kernel": 31, | |
| "dropout": 0.1, | |
| "trainable": { | |
| "trainable": 21145216, | |
| "total": 2086793088, | |
| "pct": 1.013287619246705 | |
| }, | |
| "decoder_lr": 0.0005, | |
| "encoder_adapter_lr": 0.0001, | |
| "optimizer": "adamw", | |
| "betas": [ | |
| 0.9, | |
| 0.98 | |
| ], | |
| "scheduler": "cosine+warmup_ratio_0.1", | |
| "precision": "bf16", | |
| "seed": 42, | |
| "epochs": 5, | |
| "steps_per_epoch": 23, | |
| "vram_budget_gb": 16.0, | |
| "vram_peak_gb": 18.0323486328125, | |
| "sampler": "length_bucket", | |
| "sampler_mix": 4, | |
| "pad_waste_duration_random": 0.4951037898430557, | |
| "pad_waste_duration_bucket": 0.11339504348548876, | |
| "pad_waste_mel_running": null | |
| } | |