End of training

README.md

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 ---
-license: mit
 language:
 - en
-library_name: transformers
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- chris_W/dataset
+model-index:
+- name: Whisper-Small-dadirri
+  results: []
 ---
 
-This is a finetuned Whisper-small model based on dataset of xxxx, the accuracy has been significantly improved for xxxxx.
+<!-- 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. -->
 
-Contact Chris W for further details.
+# Whisper-Small-dadirri
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the hearing voice dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0231
+
+## 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: 16
+- 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
+- training_steps: 400
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 0.52  | 50   | 3.0035          |
+| 4.521         | 1.03  | 100  | 1.4394          |
+| 4.521         | 1.55  | 150  | 2.7847          |
+| 1.8786        | 2.06  | 200  | 0.4913          |
+| 1.8786        | 2.58  | 250  | 0.0458          |
+| 0.0755        | 3.09  | 300  | 0.0379          |
+| 0.0755        | 3.61  | 350  | 0.0285          |
+| 0.0126        | 4.12  | 400  | 0.0231          |
+
+
+### Framework versions
+
+- Transformers 4.38.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.19.1
+- Tokenizers 0.15.2

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