End of training

README.md

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+---
+base_model: openai/whisper-large-v3
+datasets:
+- clt013/malay-speech-3k-rows-dataset_v2
+language:
+- ms
+library_name: peft
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: Whisper Large v3 FT Malay - CLT013
+  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 Large v3 FT Malay - CLT013
+
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the Malay Speech 3k dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7194
+
+## 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: 1e-05
+- 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: 100
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.5614        | 0.0933 | 25   | 2.6198          |
+| 2.9109        | 0.1866 | 50   | 2.5967          |
+| 2.5414        | 0.2799 | 75   | 2.5518          |
+| 2.4919        | 0.3731 | 100  | 2.4742          |
+| 2.5861        | 0.4664 | 125  | 2.3639          |
+| 2.454         | 0.5597 | 150  | 2.2213          |
+| 2.32          | 0.6530 | 175  | 2.0616          |
+| 2.1081        | 0.7463 | 200  | 1.8668          |
+| 1.7976        | 0.8396 | 225  | 1.6736          |
+| 1.7597        | 0.9328 | 250  | 1.5280          |
+| 1.469         | 1.0261 | 275  | 1.4172          |
+| 1.4484        | 1.1194 | 300  | 1.3275          |
+| 1.2641        | 1.2127 | 325  | 1.2592          |
+| 1.1853        | 1.3060 | 350  | 1.1972          |
+| 1.184         | 1.3993 | 375  | 1.1449          |
+| 1.1733        | 1.4925 | 400  | 1.0964          |
+| 1.0707        | 1.5858 | 425  | 1.0568          |
+| 0.9975        | 1.6791 | 450  | 1.0172          |
+| 0.9897        | 1.7724 | 475  | 0.9855          |
+| 1.0223        | 1.8657 | 500  | 0.9524          |
+| 0.875         | 1.9590 | 525  | 0.9232          |
+| 0.9242        | 2.0522 | 550  | 0.8968          |
+| 0.8829        | 2.1455 | 575  | 0.8709          |
+| 0.8491        | 2.2388 | 600  | 0.8454          |
+| 0.7793        | 2.3321 | 625  | 0.8236          |
+| 0.7733        | 2.4254 | 650  | 0.7993          |
+| 0.7085        | 2.5187 | 675  | 0.7787          |
+| 0.7403        | 2.6119 | 700  | 0.7596          |
+| 0.7019        | 2.7052 | 725  | 0.7415          |
+| 0.722         | 2.7985 | 750  | 0.7309          |
+| 0.6403        | 2.8918 | 775  | 0.7220          |
+| 0.699         | 2.9851 | 800  | 0.7194          |
+
+
+### Framework versions
+
+- PEFT 0.13.0
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- 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-large-v3",
+  "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 62969640

preprocessor_config.json

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+{
+  "chunk_length": 30,
+  "feature_extractor_type": "WhisperFeatureExtractor",
+  "feature_size": 128,
+  "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/Oct07_11-08-05_604cd8408840/events.out.tfevents.1728299299.604cd8408840.325.0

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training_args.bin

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