Model save

README.md

@@ -0,0 +1,88 @@
+---
+license: apache-2.0
+base_model: arun100/whisper-base-vi-1
+tags:
+- generated_from_trainer
+datasets:
+- fleurs
+metrics:
+- wer
+model-index:
+- name: arun100/whisper-base-vi-1
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: fleurs
+      type: fleurs
+      config: vi_vn
+      split: test
+      args: vi_vn
+    metrics:
+    - name: Wer
+      type: wer
+      value: 31.045349730976174
+---
+
+<!-- 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. -->
+
+# arun100/whisper-base-vi-1
+
+This model is a fine-tuned version of [arun100/whisper-base-vi-1](https://huggingface.co/arun100/whisper-base-vi-1) on the fleurs dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6957
+- Wer: 31.0453
+
+## 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: 5e-07
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.5823        | 43.0  | 500  | 0.7964          | 37.8978 |
+| 0.3312        | 86.0  | 1000 | 0.6997          | 33.7125 |
+| 0.2009        | 130.0 | 1500 | 0.6784          | 32.7479 |
+| 0.1271        | 173.0 | 2000 | 0.6760          | 31.9985 |
+| 0.0815        | 217.0 | 2500 | 0.6799          | 31.3028 |
+| 0.0561        | 260.0 | 3000 | 0.6851          | 31.2337 |
+| 0.0438        | 304.0 | 3500 | 0.6896          | 31.7256 |
+| 0.0367        | 347.0 | 4000 | 0.6928          | 31.5949 |
+| 0.0331        | 391.0 | 4500 | 0.6949          | 31.0338 |
+| 0.0317        | 434.0 | 5000 | 0.6957          | 31.0453 |
+
+
+### Framework versions
+
+- Transformers 4.37.0.dev0
+- Pytorch 2.1.2+cu121
+- Datasets 2.16.2.dev0
+- Tokenizers 0.15.0

generation_config.json

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+    [
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+    [
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+  ],
+  "begin_suppress_tokens": [
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+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": [
+    [
+      1,
+      null
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+    [
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+    ]
+  ],
+  "is_multilingual": true,
+  "lang_to_id": {
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+    "<|am|>": 50334,
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+  "task_to_id": {
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+  "transformers_version": "4.37.0.dev0"
+}

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