End of training

README.md

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+---
+library_name: transformers
+language:
+- en
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- Spanish_english
+metrics:
+- wer
+model-index:
+- name: Whisper tiny Spanish
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Spanish English
+      type: Spanish_english
+      args: 'config: default, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 81.5477909327173
+---
+
+<!-- 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 Spanish
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Spanish English dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6335
+- Wer: 81.5478
+
+## 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: 2
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 2000
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.6927        | 3.6630 | 1000 | 1.6329          | 77.3607 |
+| 0.1502        | 7.3260 | 2000 | 1.6335          | 81.5478 |
+
+
+### Framework versions
+
+- Transformers 4.57.0.dev0
+- Pytorch 2.8.0+cu126
+- Datasets 4.2.0
+- Tokenizers 0.22.1

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