End of training

README.md

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+---
+language:
+- id
+license: apache-2.0
+library_name: peft
+tags:
+- id-asr-leaderboard
+- generated_from_trainer
+datasets:
+- '-'
+base_model: openai/whisper-large-v2
+model-index:
+- name: /content/zeon8985army/AllIndonesian-fineTunedLargeV2-id-1/checkpoint-192
+  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. -->
+
+# /content/zeon8985army/AllIndonesian-fineTunedLargeV2-id-1/checkpoint-192
+
+This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the IndonesianAll dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2235
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.7039        | 0.04  | 12   | 1.3824          |
+| 1.5534        | 0.08  | 24   | 1.1951          |
+| 1.0896        | 0.12  | 36   | 0.8549          |
+| 0.8805        | 0.16  | 48   | 0.6975          |
+| 0.7475        | 0.2   | 60   | 0.6245          |
+| 0.6436        | 0.25  | 72   | 0.5783          |
+| 0.606         | 0.29  | 84   | 0.5371          |
+| 0.5558        | 0.33  | 96   | 0.5013          |
+| 0.5116        | 0.37  | 108  | 0.4695          |
+| 0.491         | 0.41  | 120  | 0.4379          |
+| 0.4481        | 0.45  | 132  | 0.4017          |
+| 0.4029        | 0.49  | 144  | 0.3533          |
+| 0.3149        | 0.53  | 156  | 0.2834          |
+| 0.2592        | 0.57  | 168  | 0.2338          |
+| 0.2175        | 0.61  | 180  | 0.2311          |
+| 0.1989        | 0.66  | 192  | 0.2278          |
+| 0.2031        | 0.7   | 204  | 0.2263          |
+| 0.2256        | 0.74  | 216  | 0.2250          |
+| 0.2065        | 0.78  | 228  | 0.2245          |
+| 0.1916        | 0.82  | 240  | 0.2246          |
+| 0.2115        | 0.86  | 252  | 0.2242          |
+| 0.2135        | 0.9   | 264  | 0.2238          |
+| 0.2177        | 0.94  | 276  | 0.2235          |
+
+
+### Framework versions
+
+- PEFT 0.9.0
+- 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-large-v2",
+  "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": [
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+oid sha256:6fbe2dd91dcd71d8a6b91f643bbba5e6068c5427e64189753e39c534ff4d8db2
+size 62969640

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/Mar26_03-11-39_03988223b069/events.out.tfevents.1711422700.03988223b069.449.0

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training_args.bin

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