Model save

README.md

@@ -0,0 +1,88 @@
+---
+license: apache-2.0
+base_model: arun100/whisper-base-th-1
+tags:
+- generated_from_trainer
+datasets:
+- fleurs
+metrics:
+- wer
+model-index:
+- name: arun100/whisper-base-th-1
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: fleurs
+      type: fleurs
+      config: th_th
+      split: test
+      args: th_th
+    metrics:
+    - name: Wer
+      type: wer
+      value: 54.228988944569835
+---
+
+<!-- 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-th-1
+
+This model is a fine-tuned version of [arun100/whisper-base-th-1](https://huggingface.co/arun100/whisper-base-th-1) on the fleurs dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5793
+- Wer: 54.2290
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.5011        | 35.0  | 500  | 0.5963          | 59.8868 |
+| 0.3648        | 71.0  | 1000 | 0.5613          | 55.9542 |
+| 0.2732        | 107.0 | 1500 | 0.5504          | 54.4585 |
+| 0.2081        | 142.0 | 2000 | 0.5502          | 53.6705 |
+| 0.1627        | 178.0 | 2500 | 0.5558          | 53.8273 |
+| 0.133         | 214.0 | 3000 | 0.5628          | 53.6628 |
+| 0.1112        | 249.0 | 3500 | 0.5696          | 54.0798 |
+| 0.0973        | 285.0 | 4000 | 0.5749          | 53.9995 |
+| 0.0906        | 321.0 | 4500 | 0.5783          | 54.1487 |
+| 0.0874        | 357.0 | 5000 | 0.5793          | 54.2290 |
+
+
+### 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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+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": [
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+      1,
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+    [
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+  ],
+  "is_multilingual": true,
+  "lang_to_id": {
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+  "transformers_version": "4.37.0.dev0"
+}

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