End of training

README.md

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+---
+base_model: openai/whisper-medium
+datasets:
+- mozilla-foundation/common_voice_11_0
+language:
+- ha
+library_name: peft
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: Whisper Small ha Test- Dinaka Ezeani
+ 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 Small ha Test- Dinaka Ezeani
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 11.0 dataset.
+
+## 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: 128
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 2
+- training_steps: 10
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.0
+- Tokenizers 0.19.1

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-medium",
+ "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": [
+ "q_proj",
+ "v_proj"
+ ],
+ "task_type": null,
+ "use_dora": false,
+ "use_rslora": false
+}

adapter_model.safetensors

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+size 37789960

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
+}

runs/Sep23_14-58-50_sagemaker-data-scie-ml-g4dn-xlarge-110f7caf5ae7571e8b8ff50d5ca7/events.out.tfevents.1727103532.sagemaker-data-scie-ml-g4dn-xlarge-110f7caf5ae7571e8b8ff50d5ca7.2353.0

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training_args.bin

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