End of training

README.md

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+---
+language:
+- he
+license: apache-2.0
+library_name: peft
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- imvladikon/hebrew_speech_kan
+base_model: openai/whisper-tiny
+model-index:
+- name: TK_Whisper_ASR
+  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. -->
+
+# TK_Whisper_ASR
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the KAN Hebrew Speech dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.4256
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 30
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 1    | 6.4006          |
+| No log        | 2.0   | 2    | 6.4006          |
+| No log        | 3.0   | 3    | 6.4006          |
+| No log        | 4.0   | 4    | 6.4006          |
+| No log        | 5.0   | 5    | 6.4006          |
+| No log        | 6.0   | 6    | 6.3966          |
+| No log        | 7.0   | 7    | 6.3910          |
+| No log        | 8.0   | 8    | 6.3844          |
+| No log        | 9.0   | 9    | 6.3857          |
+| No log        | 10.0  | 10   | 6.3694          |
+| No log        | 11.0  | 11   | 6.3381          |
+| No log        | 12.0  | 12   | 6.3115          |
+| No log        | 13.0  | 13   | 6.2788          |
+| No log        | 14.0  | 14   | 6.2411          |
+| No log        | 15.0  | 15   | 6.1932          |
+| No log        | 16.0  | 16   | 6.1552          |
+| No log        | 17.0  | 17   | 6.1146          |
+| No log        | 18.0  | 18   | 6.0711          |
+| No log        | 19.0  | 19   | 6.0122          |
+| No log        | 20.0  | 20   | 5.9643          |
+| No log        | 21.0  | 21   | 5.9193          |
+| No log        | 22.0  | 22   | 5.8783          |
+| No log        | 23.0  | 23   | 5.8258          |
+| No log        | 24.0  | 24   | 5.7742          |
+| 6.7306        | 25.0  | 25   | 5.7174          |
+| 6.7306        | 26.0  | 26   | 5.6629          |
+| 6.7306        | 27.0  | 27   | 5.6041          |
+| 6.7306        | 28.0  | 28   | 5.5453          |
+| 6.7306        | 29.0  | 29   | 5.4896          |
+| 6.7306        | 30.0  | 30   | 5.4256          |
+
+
+### Framework versions
+
+- PEFT 0.9.0
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.0

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-tiny",
+  "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": 0.05,
+  "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 2366008

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/Oct21_12-52-27_Adam-Laptop/events.out.tfevents.1729504348.Adam-Laptop

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training_args.bin

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