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README.md

@@ -1,3 +1,72 @@
 ---
-license: cc-by-nc-sa-4.0
+license: apache-2.0
+tags:
+- audio-classification
+- generated_from_trainer
+datasets:
+- common_language
+metrics:
+- accuracy
+model-index:
+- name: out
+  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. -->
+
+# out
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_language dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6339
+- Accuracy: 0.8898
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 0
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.4103        | 1.0   | 694  | 1.1299          | 0.7471   |
+| 0.5324        | 2.0   | 1388 | 0.6167          | 0.8495   |
+| 0.3164        | 3.0   | 2082 | 0.5136          | 0.8679   |
+| 0.1535        | 4.0   | 2776 | 0.5264          | 0.8758   |
+| 0.1018        | 5.0   | 3470 | 0.5890          | 0.8767   |
+| 0.0555        | 6.0   | 4164 | 0.6121          | 0.8772   |
+| 0.031         | 7.0   | 4858 | 0.6624          | 0.8777   |
+| 0.0264        | 8.0   | 5552 | 0.6172          | 0.8869   |
+| 0.0079        | 9.0   | 6246 | 0.6225          | 0.8884   |
+| 0.0058        | 10.0  | 6940 | 0.6339          | 0.8898   |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 1.8.0+cu111
+- Datasets 2.11.0
+- Tokenizers 0.13.3

all_results.json

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+    "train_runtime": 18647.2594,
+    "train_samples_per_second": 11.902,
+    "train_steps_per_second": 0.372
+}

config.json

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eval_results.json

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preprocessor_config.json

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train_results.json

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training_args.bin

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