End of training

README.md

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+---
+language:
+- hi
+base_model: nurzhanit/whisper-enhanced-ml
+tags:
+- hf-asr-leaderboard
+- 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
+      config: default
+      split: None
+      args: 'config: hi, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.05155525004296271
+---
+
+<!-- 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 [nurzhanit/whisper-enhanced-ml](https://huggingface.co/nurzhanit/whisper-enhanced-ml) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0005
+- Wer: 0.0516
+
+## 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: 25
+- training_steps: 500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.0929        | 1.0   | 50   | 0.0404          | 8.1114 |
+| 0.0385        | 2.0   | 100  | 0.0161          | 3.0761 |
+| 0.0176        | 3.0   | 150  | 0.0081          | 1.4779 |
+| 0.0087        | 4.0   | 200  | 0.0034          | 0.6358 |
+| 0.0038        | 5.0   | 250  | 0.0020          | 0.4296 |
+| 0.0025        | 6.0   | 300  | 0.0011          | 0.1203 |
+| 0.0017        | 7.0   | 350  | 0.0008          | 0.0516 |
+| 0.0009        | 8.0   | 400  | 0.0006          | 0.0516 |
+| 0.0007        | 9.0   | 450  | 0.0006          | 0.0516 |
+| 0.0007        | 10.0  | 500  | 0.0005          | 0.0516 |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.5.0+cu124
+- Datasets 3.0.2
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "begin_suppress_tokens": [
+    220,
+    50257
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "max_length": 448,
+  "pad_token_id": 50257,
+  "return_timestamps": false,
+  "suppress_tokens": [],
+  "transformers_version": "4.40.0"
+}

model.safetensors

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