End of training

README.md

@@ -1,82 +1,59 @@
----
-library_name: transformers
-language:
-- vi
-base_model: openai/whisper-small-v3
-tags:
-- generated_from_trainer
-datasets:
-- mozilla-foundation/common_voice_11_0
-metrics:
-- wer
-model-index:
-- name: Whisper small vi - Ox
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Common Voice 11.0
-      type: mozilla-foundation/common_voice_11_0
-      config: vi
-      split: test
-      args: 'config: vi, split: test'
-    metrics:
-    - name: Wer
-      type: wer
-      value: 14.738458164272398
----
-
-<!-- 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 vi - Ox
-
-This model is a fine-tuned version of [openai/whisper-small-v3](https://huggingface.co/openai/whisper-small-v3) on the Common Voice 11.0 dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.2529
-- Wer: 14.7385
-
-## 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: 500
-- training_steps: 4000
-- mixed_precision_training: Native AMP
-
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss | Wer     |
-|:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.2196        | 1.3928 | 1000 | 0.3174          | 19.4758 |
-| 0.0938        | 2.7855 | 2000 | 0.2513          | 16.0325 |
-| 0.014         | 4.1783 | 3000 | 0.2467          | 14.4972 |
-| 0.0109        | 5.5710 | 4000 | 0.2529          | 14.7385 |
-
-
-### Framework versions
-
-- Transformers 4.45.2
-- Pytorch 2.4.1
-- Datasets 3.0.2
-- Tokenizers 0.20.1
+---
+library_name: transformers
+language:
+- vi
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+model-index:
+- name: Whisper small vi - Ox
+  results: []
+---
+
+<!-- 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 vi - Ox
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
+
+## 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: 500
+- num_epochs: 3.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.5.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.1

generation_config.json

@@ -1,254 +1,254 @@
-{
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-      3
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-  "begin_suppress_tokens": [
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-  "decoder_start_token_id": 50258,
-  "eos_token_id": 50257,
-  "is_multilingual": true,
-  "lang_to_id": {
-    "<|af|>": 50327,
-    "<|am|>": 50334,
-    "<|ar|>": 50272,
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-    "<|es|>": 50262,
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-    "<|eu|>": 50310,
-    "<|fa|>": 50300,
-    "<|fi|>": 50277,
-    "<|fo|>": 50338,
-    "<|fr|>": 50265,
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-    "<|yi|>": 50335,
-    "<|yo|>": 50325,
-    "<|zh|>": 50260
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-  "language": "vi",
-  "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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-    2,
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-  "task_to_id": {
-    "transcribe": 50359,
-    "translate": 50358
-  },
-  "transformers_version": "4.45.2"
-}
+{
+  "alignment_heads": [
+    [
+      5,
+      3
+    ],
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+    [
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+      8,
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+  "eos_token_id": 50257,
+  "is_multilingual": true,
+  "lang_to_id": {
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+    "<|am|>": 50334,
+    "<|ar|>": 50272,
+    "<|as|>": 50350,
+    "<|az|>": 50304,
+    "<|ba|>": 50355,
+    "<|be|>": 50330,
+    "<|bg|>": 50292,
+    "<|bn|>": 50302,
+    "<|bo|>": 50347,
+    "<|br|>": 50309,
+    "<|bs|>": 50315,
+    "<|ca|>": 50270,
+    "<|cs|>": 50283,
+    "<|cy|>": 50297,
+    "<|da|>": 50285,
+    "<|de|>": 50261,
+    "<|el|>": 50281,
+    "<|en|>": 50259,
+    "<|es|>": 50262,
+    "<|et|>": 50307,
+    "<|eu|>": 50310,
+    "<|fa|>": 50300,
+    "<|fi|>": 50277,
+    "<|fo|>": 50338,
+    "<|fr|>": 50265,
+    "<|gl|>": 50319,
+    "<|gu|>": 50333,
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+    "<|ur|>": 50290,
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+    "<|yi|>": 50335,
+    "<|yo|>": 50325,
+    "<|zh|>": 50260
+  },
+  "language": "vi",
+  "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,
+  "suppress_tokens": [
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+    8,
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+    "translate": 50358
+  },
+  "transformers_version": "4.46.1"
+}