whisper-small-base_experiment

README.md

@@ -1,200 +1,92 @@
 ---
-library_name: transformers
+library_name: peft
+license: apache-2.0
+base_model: unsloth/whisper-small
 tags:
 - unsloth
+- generated_from_trainer
+model-index:
+- name: whisper-small-base_experiment
+  results: []
 ---
 
-# Model Card for Model ID
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+<!-- 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-base_experiment
+
+This model is a fine-tuned version of [unsloth/whisper-small](https://huggingface.co/unsloth/whisper-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3049
+
+## 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: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 3407
+- optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 5
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.3599        | 0.0315 | 10   | 1.8954          |
+| 1.4553        | 0.0631 | 20   | 1.1826          |
+| 1.0813        | 0.0946 | 30   | 0.9275          |
+| 0.8147        | 0.1262 | 40   | 0.6745          |
+| 0.5817        | 0.1577 | 50   | 0.5102          |
+| 0.4833        | 0.1893 | 60   | 0.4359          |
+| 0.447         | 0.2208 | 70   | 0.4060          |
+| 0.4082        | 0.2524 | 80   | 0.3890          |
+| 0.3891        | 0.2839 | 90   | 0.3805          |
+| 0.3788        | 0.3155 | 100  | 0.3694          |
+| 0.3576        | 0.3470 | 110  | 0.3622          |
+| 0.3554        | 0.3785 | 120  | 0.3548          |
+| 0.3408        | 0.4101 | 130  | 0.3507          |
+| 0.3712        | 0.4416 | 140  | 0.3452          |
+| 0.3564        | 0.4732 | 150  | 0.3391          |
+| 0.3458        | 0.5047 | 160  | 0.3325          |
+| 0.3171        | 0.5363 | 170  | 0.3289          |
+| 0.3511        | 0.5678 | 180  | 0.3274          |
+| 0.3438        | 0.5994 | 190  | 0.3250          |
+| 0.3829        | 0.6309 | 200  | 0.3210          |
+| 0.3329        | 0.6625 | 210  | 0.3191          |
+| 0.3348        | 0.6940 | 220  | 0.3154          |
+| 0.3066        | 0.7256 | 230  | 0.3130          |
+| 0.3563        | 0.7571 | 240  | 0.3123          |
+| 0.3187        | 0.7886 | 250  | 0.3099          |
+| 0.2766        | 0.8202 | 260  | 0.3076          |
+| 0.3368        | 0.8517 | 270  | 0.3061          |
+| 0.2867        | 0.8833 | 280  | 0.3059          |
+| 0.2989        | 0.9148 | 290  | 0.3057          |
+| 0.3101        | 0.9464 | 300  | 0.3052          |
+| 0.3148        | 0.9779 | 310  | 0.3049          |
+
+
+### Framework versions
+
+- PEFT 0.15.2
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.1

experiment_settings.json

@@ -0,0 +1,9 @@
+{
+    "model_kwargs": {},
+    "process_dataset_kwargs": {},
+    "trainer_kwargs": {
+        "run_name": "base_experiment_run_test",
+        "hub_model_id": "whisper-small-base_experiment"
+    },
+    "dataset": "KhateebAI/Khateeb_audio_44KH_split"
+}