End of training

README.md

@@ -0,0 +1,87 @@
+---
+library_name: transformers
+language:
+- he
+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 Hi - Sanchit Gandhi
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_11_0
+      args: 'config: hi, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 30.46731826511912
+---
+
+<!-- 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 Hi - Sanchit Gandhi
+
+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: 0.5304
+- Wer: 30.4673
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- 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     |
+|:-------------:|:-------:|:----:|:---------------:|:-------:|
+| 0.3345        | 1.7778  | 500  | 0.4103          | 43.8302 |
+| 0.1379        | 3.5556  | 1000 | 0.4276          | 37.6756 |
+| 0.0612        | 5.3333  | 1500 | 0.4672          | 32.8039 |
+| 0.0234        | 7.1111  | 2000 | 0.4806          | 32.9948 |
+| 0.0167        | 8.8889  | 2500 | 0.4829          | 31.0247 |
+| 0.0074        | 10.6667 | 3000 | 0.5092          | 34.4762 |
+| 0.0023        | 12.4444 | 3500 | 0.5247          | 29.9786 |
+| 0.0008        | 14.2222 | 4000 | 0.5304          | 30.4673 |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.1

generation_config.json

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+    [
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+  ],
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+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "is_multilingual": true,
+  "lang_to_id": {
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+  "language": "hebrew",
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+  "task": "transcribe",
+  "task_to_id": {
+    "transcribe": 50360,
+    "translate": 50359
+  },
+  "transformers_version": "4.45.2"
+}

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