Model save

README.md

@@ -0,0 +1,80 @@
+---
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_13_0
+metrics:
+- wer
+model-index:
+- name: openai/whisper-tiny
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_13_0
+      type: common_voice_13_0
+      config: es
+      split: test
+      args: es
+    metrics:
+    - name: Wer
+      type: wer
+      value: 20.413531181636806
+---
+
+<!-- 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. -->
+
+# openai/whisper-tiny
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the common_voice_13_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4568
+- Wer: 20.4135
+
+## 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: 3.75e-05
+- train_batch_size: 256
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 5000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.1801        | 8.0   | 1000 | 0.4318          | 22.1861 |
+| 0.1627        | 16.01 | 2000 | 0.4218          | 19.5904 |
+| 0.0691        | 24.01 | 3000 | 0.4374          | 20.7170 |
+| 0.0124        | 32.01 | 4000 | 0.4635          | 20.0459 |
+| 0.0129        | 40.02 | 5000 | 0.4568          | 20.4135 |
+
+
+### Framework versions
+
+- Transformers 4.33.0.dev0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.4
+- Tokenizers 0.13.3

generation_config.json

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+  "transformers_version": "4.33.0.dev0"
+}

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