End of training

README.md

@@ -0,0 +1,97 @@
+---
+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: 35.622895622895626
+---
+
+<!-- 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: 0.0001
+- Wer: 35.6229
+
+## 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: 100
+- training_steps: 1000
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 3.2948        | 0.2688 | 50   | 2.0785          | 12.9293 |
+| 1.4104        | 0.5376 | 100  | 1.1845          | 2.6263  |
+| 0.5806        | 0.8065 | 150  | 0.3972          | 24.0404 |
+| 0.0701        | 1.0753 | 200  | 0.0263          | 48.0471 |
+| 0.0023        | 1.3441 | 250  | 0.0012          | 39.2593 |
+| 0.0006        | 1.6129 | 300  | 0.0005          | 39.8653 |
+| 0.0004        | 1.8817 | 350  | 0.0004          | 31.7508 |
+| 0.0003        | 2.1505 | 400  | 0.0003          | 32.7609 |
+| 0.0002        | 2.4194 | 450  | 0.0002          | 34.6801 |
+| 0.0002        | 2.6882 | 500  | 0.0002          | 31.4141 |
+| 0.0002        | 2.9570 | 550  | 0.0002          | 38.2155 |
+| 0.0001        | 3.2258 | 600  | 0.0001          | 33.6364 |
+| 0.0001        | 3.4946 | 650  | 0.0001          | 36.2290 |
+| 0.0001        | 3.7634 | 700  | 0.0001          | 35.7239 |
+| 0.0001        | 4.0323 | 750  | 0.0001          | 34.9158 |
+| 0.0001        | 4.3011 | 800  | 0.0001          | 37.2727 |
+| 0.0001        | 4.5699 | 850  | 0.0001          | 35.2862 |
+| 0.0001        | 4.8387 | 900  | 0.0001          | 35.5892 |
+| 0.0001        | 5.1075 | 950  | 0.0001          | 34.9158 |
+| 0.0001        | 5.3763 | 1000 | 0.0001          | 35.6229 |
+
+
+### 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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+    [
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+    [
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+    ]
+  ],
+  "begin_suppress_tokens": [
+    220,
+    50256
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50257,
+  "eos_token_id": 50256,
+  "forced_decoder_ids": [
+    [
+      1,
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+  ],
+  "is_multilingual": false,
+  "max_initial_timestamp_index": 50,
+  "max_length": 448,
+  "no_timestamps_token_id": 50362,
+  "pad_token_id": 50256,
+  "prev_sot_token_id": 50360,
+  "return_timestamps": false,
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+  "transformers_version": "4.40.0"
+}

model.safetensors

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