End of training

README.md

@@ -0,0 +1,87 @@
+---
+language:
+- es
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+metrics:
+- wer
+model-index:
+- name: Whisper Small Es - Spanish
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_11_0
+      args: 'config: es, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 46.25
+---
+
+<!-- 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 Es - Spanish
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1396
+- Wer: 46.25
+
+## 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: 50
+- training_steps: 100
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| No log        | 10.0  | 10   | 4.1585          | 27.5000 |
+| No log        | 20.0  | 20   | 3.0184          | 33.75   |
+| 3.8104        | 30.0  | 30   | 2.1938          | 105.0   |
+| 3.8104        | 40.0  | 40   | 1.4511          | 267.5   |
+| 0.8755        | 50.0  | 50   | 1.3480          | 178.75  |
+| 0.8755        | 60.0  | 60   | 1.2947          | 100.0   |
+| 0.8755        | 70.0  | 70   | 1.2436          | 86.25   |
+| 0.4202        | 80.0  | 80   | 1.1970          | 66.25   |
+| 0.4202        | 90.0  | 90   | 1.1718          | 52.5    |
+| 0.188         | 100.0 | 100  | 1.1396          | 46.25   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

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+}

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