End of training

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: openai/whisper-base
+model-index:
+- name: Whisper-base-Ar-MDD
+ 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-base-Ar-MDD
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2159
+
+## 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: 6
+- eval_batch_size: 6
+- 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: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.0684 | 1.0 | 546 | 0.2054 |
+| 0.0321 | 2.0 | 1092 | 0.2022 |
+| 0.0345 | 3.0 | 1638 | 0.1919 |
+| 0.0176 | 4.0 | 2184 | 0.1864 |
+| 0.0303 | 5.0 | 2730 | 0.1919 |
+| 0.0182 | 6.0 | 3276 | 0.1999 |
+| 0.0083 | 7.0 | 3822 | 0.2039 |
+| 0.008 | 8.0 | 4368 | 0.2056 |
+| 0.0028 | 9.0 | 4914 | 0.2153 |
+| 0.0022 | 10.0 | 5460 | 0.2159 |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

adapter_config.json

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+{
+ "alpha_pattern": {},
+ "auto_mapping": {
+ "base_model_class": "WhisperForConditionalGeneration",
+ "parent_library": "transformers.models.whisper.modeling_whisper"
+ },
+ "base_model_name_or_path": "openai/whisper-base",
+ "bias": "none",
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 64,
+ "lora_dropout": 0.05,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "r": 32,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "v_proj",
+ "q_proj"
+ ],
+ "task_type": null,
+ "use_dora": false,
+ "use_rslora": false
+}

adapter_model.safetensors

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+size 4728680

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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