End of training

README.md

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+---
+language:
+- dj
+license: apache-2.0
+base_model: openai/whisper-medium
+tags:
+- generated_from_trainer
+datasets:
+- Fahd1199/MergeV2
+model-index:
+- name: Whisper medium Darija
+  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. -->
+
+# Whisper medium Darija
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the MergeV2 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.4036
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.001
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.4992        | 0.2415 | 100  | 1.2243          |
+| 0.8767        | 0.4831 | 200  | 1.6230          |
+| 0.7651        | 0.7246 | 300  | 1.5771          |
+| 0.8255        | 0.9662 | 400  | 2.2942          |
+| 1.0079        | 1.2077 | 500  | 1.5600          |
+| 1.6485        | 1.4493 | 600  | 3.9792          |
+| 1.9125        | 1.6908 | 700  | 4.1289          |
+| 1.2813        | 1.9324 | 800  | 4.8182          |
+| 0.8415        | 2.1739 | 900  | 4.9184          |
+| 0.6234        | 2.4155 | 1000 | 5.0654          |
+| 0.5348        | 2.6570 | 1100 | 5.2614          |
+| 0.4577        | 2.8986 | 1200 | 5.4036          |
+
+
+### Framework versions
+
+- Transformers 4.43.4
+- Pytorch 2.2.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

adapter_config.json

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+{
+  "base_model_name_or_path": "openai/whisper-medium",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "lora_alpha": 64,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "target_modules": [
+    "q_proj",
+    "v_proj",
+    "k_proj",
+    "out_proj",
+    "fc1",
+    "fc2"
+  ],
+  "task_type": null
+}

adapter_model.bin

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+size 138694026

preprocessor_config.json

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+{
+  "chunk_length": 30,
+  "feature_extractor_type": "WhisperFeatureExtractor",
+  "feature_size": 80,
+  "hop_length": 160,
+  "n_fft": 400,
+  "n_samples": 480000,
+  "nb_max_frames": 3000,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "processor_class": "WhisperProcessor",
+  "return_attention_mask": false,
+  "sampling_rate": 16000
+}

training_args.bin

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