End of training

README.md

@@ -1,6 +1,78 @@
 ---
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
 datasets:
 - PolyAI/minds14
-pipeline_tag: automatic-speech-recognition
-finetuned_from: openai/whisper-tiny
----
+metrics:
+- wer
+model-index:
+- name: whisper-tiny-en
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: PolyAI/minds14
+      type: PolyAI/minds14
+      config: en-US
+      split: train[450:]
+      args: en-US
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.3547815820543093
+---
+
+<!-- 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-en
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5001
+- Wer Ortho: 0.3609
+- Wer: 0.3548
+
+## 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: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_warmup_steps: 5
+- training_steps: 50
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|
+| 0.4728        | 1.7857 | 50   | 0.5001          | 0.3609    | 0.3548 |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "openai/whisper-tiny",
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "apply_spec_augment": false,
+  "architectures": [
+    "WhisperForConditionalGeneration"
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+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.0,
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+  "max_source_positions": 1500,
+  "max_target_positions": 448,
+  "median_filter_width": 7,
+  "model_type": "whisper",
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+  "num_mel_bins": 80,
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+  "use_cache": false,
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+  "vocab_size": 51865
+}

generation_config.json

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special_tokens_map.json

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