End of training

README.md

@@ -0,0 +1,89 @@
+---
+library_name: transformers
+language:
+- id
+license: apache-2.0
+base_model: openai/whisper-base
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+metrics:
+- wer
+model-index:
+- name: Whisper Base - FineTuned - Id -
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_11_0
+      config: id
+      split: None
+      args: 'config: id, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 45.61101549053356
+---
+
+<!-- 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 Base - FineTuned - Id -
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8705
+- Wer: 45.6110
+
+## 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: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use adamw_torch 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: 100
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer     |
+|:-------------:|:-------:|:----:|:---------------:|:-------:|
+| 0.891         | 1.5873  | 100  | 0.7102          | 48.5370 |
+| 0.3582        | 3.1746  | 200  | 0.7179          | 45.3528 |
+| 0.1205        | 4.7619  | 300  | 0.7682          | 46.2134 |
+| 0.0413        | 6.3492  | 400  | 0.7906          | 68.7608 |
+| 0.0179        | 7.9365  | 500  | 0.8193          | 57.4010 |
+| 0.0091        | 9.5238  | 600  | 0.8451          | 45.3528 |
+| 0.0064        | 11.1111 | 700  | 0.8578          | 45.7831 |
+| 0.0048        | 12.6984 | 800  | 0.8647          | 45.9552 |
+| 0.0042        | 14.2857 | 900  | 0.8683          | 45.6110 |
+| 0.004         | 15.8730 | 1000 | 0.8705          | 45.6110 |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

generation_config.json

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+  "eos_token_id": 50257,
+  "is_multilingual": true,
+  "lang_to_id": {
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+  "task_to_id": {
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+  "transformers_version": "4.46.3"
+}

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