Model save

README.md

@@ -0,0 +1,88 @@
+---
+license: apache-2.0
+base_model: arun100/whisper-base-ar-1
+tags:
+- generated_from_trainer
+datasets:
+- fleurs
+metrics:
+- wer
+model-index:
+- name: arun100/whisper-base-ar-1
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: fleurs
+      type: fleurs
+      config: ar_eg
+      split: test
+      args: ar_eg
+    metrics:
+    - name: Wer
+      type: wer
+      value: 44.62789850673789
+---
+
+<!-- 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-ar-1
+
+This model is a fine-tuned version of [arun100/whisper-base-ar-1](https://huggingface.co/arun100/whisper-base-ar-1) on the fleurs dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6924
+- Wer: 44.6279
+
+## 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     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.5692        | 52.63  | 500  | 0.6253          | 54.7894 |
+| 0.3447        | 105.26 | 1000 | 0.6001          | 45.2106 |
+| 0.2067        | 157.89 | 1500 | 0.6109          | 44.7372 |
+| 0.1273        | 210.53 | 2000 | 0.6303          | 44.7372 |
+| 0.0788        | 263.16 | 2500 | 0.6508          | 44.4579 |
+| 0.0526        | 315.79 | 3000 | 0.6670          | 44.2880 |
+| 0.0404        | 368.42 | 3500 | 0.6784          | 44.7129 |
+| 0.0335        | 421.05 | 4000 | 0.6860          | 46.2668 |
+| 0.0296        | 473.68 | 4500 | 0.6907          | 44.5915 |
+| 0.0287        | 526.32 | 5000 | 0.6924          | 44.6279 |
+
+
+### 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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+  "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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