End of training

README.md

@@ -0,0 +1,89 @@
+---
+library_name: transformers
+language:
+- id
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+metrics:
+- wer
+model-index:
+- name: Whisper Small Id - Tiny - Test
+  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: 57.08661417322835
+---
+
+<!-- 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 Id - Tiny - Test
+
+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: 1.2653
+- Wer: 57.0866
+
+## 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: 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: 2
+- training_steps: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 1.7861        | 0.0312 | 1    | 1.6331          | 93.3071 |
+| 1.883         | 0.0625 | 2    | 1.5606          | 61.8110 |
+| 1.7576        | 0.0938 | 3    | 1.4525          | 59.0551 |
+| 1.5225        | 0.125  | 4    | 1.3888          | 59.0551 |
+| 1.3685        | 0.1562 | 5    | 1.3456          | 57.4803 |
+| 1.353         | 0.1875 | 6    | 1.3157          | 58.2677 |
+| 1.5608        | 0.2188 | 7    | 1.2949          | 56.2992 |
+| 1.3093        | 0.25   | 8    | 1.2799          | 56.2992 |
+| 1.4337        | 0.2812 | 9    | 1.2701          | 57.0866 |
+| 1.3561        | 0.3125 | 10   | 1.2653          | 57.0866 |
+
+
+### 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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+{
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+    [
+      2,
+      2
+    ],
+    [
+      3,
+      0
+    ],
+    [
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+    [
+      3,
+      3
+    ],
+    [
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+      4
+    ],
+    [
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+      5
+    ]
+  ],
+  "begin_suppress_tokens": [
+    220,
+    50257
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "is_multilingual": true,
+  "lang_to_id": {
+    "<|af|>": 50327,
+    "<|am|>": 50334,
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+  "language": "Indonesian",
+  "max_initial_timestamp_index": 50,
+  "max_length": 448,
+  "no_timestamps_token_id": 50363,
+  "pad_token_id": 50257,
+  "prev_sot_token_id": 50361,
+  "return_timestamps": false,
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+  "task": "transcribe",
+  "task_to_id": {
+    "transcribe": 50359,
+    "translate": 50358
+  },
+  "transformers_version": "4.46.3"
+}

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