Model save

README.md

@@ -0,0 +1,64 @@
+---
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-tiny-deltamon
+  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. -->
+
+# whisper-tiny-deltamon
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0007
+- Wer: 0.0
+
+## 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: 8
+- 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: 10
+- training_steps: 40
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 6.0453        | 5.0   | 10   | 5.1551          | 100.0   |
+| 2.8084        | 10.0  | 20   | 0.9061          | 13.3333 |
+| 0.3357        | 15.0  | 30   | 0.0096          | 0.0     |
+| 0.0031        | 20.0  | 40   | 0.0007          | 0.0     |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.1.1+cu118
+- Datasets 2.18.0
+- Tokenizers 0.13.3

generation_config.json

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+}

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