End of training

README.md

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+---
+base_model: openai/whisper-large-v3
+datasets:
+- '-'
+language:
+- id
+library_name: peft
+tags:
+- id-asr-leaderboard
+- generated_from_trainer
+model-index:
+- name: zeon8985army/IndonesiaLukas-largeV3
+  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. -->
+
+# zeon8985army/IndonesiaLukas-largeV3
+
+This model is a fine-tuned version of [zeon8985army/IndonesiaLukas-largeV3](https://huggingface.co/zeon8985army/IndonesiaLukas-largeV3) on the Mozilla & GoogleFleur dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2076
+
+## 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: 6e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 12
+- training_steps: 276
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.9886        | 0.0785 | 23   | 0.7911          |
+| 0.7915        | 0.1570 | 46   | 0.5595          |
+| 0.5391        | 0.2355 | 69   | 0.4659          |
+| 0.4979        | 0.3140 | 92   | 0.3941          |
+| 0.3862        | 0.3925 | 115  | 0.3290          |
+| 0.3009        | 0.4710 | 138  | 0.2649          |
+| 0.2777        | 0.5495 | 161  | 0.2264          |
+| 0.2603        | 0.6280 | 184  | 0.2169          |
+| 0.2258        | 0.7065 | 207  | 0.2120          |
+| 0.23          | 0.7850 | 230  | 0.2091          |
+| 0.2183        | 0.8635 | 253  | 0.2083          |
+| 0.2392        | 0.9420 | 276  | 0.2076          |
+
+
+### Framework versions
+
+- PEFT 0.9.0
+- 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,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_dropout": 0.1,
+  "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/Oct11_03-33-24_b326ce56e8a2/events.out.tfevents.1728617617.b326ce56e8a2.304.0

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training_args.bin

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