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Model: Tejveer12/Indian-Accent-English-Whisper-Finetuned
Source: Original Platform

.gitattributes

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README.md

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+---
+library_name: transformers
+language:
+- en
+license: mit
+base_model: openai/whisper-large-v3-turbo
+tags:
+- generated_from_trainer
+datasets:
+- WillHeld/india_accent_cv
+metrics:
+- wer
+model-index:
+- name: Whisper Indian English Acccent
+  results:
+  - task:
+      type: automatic-speech-recognition
+      name: Automatic Speech Recognition
+    dataset:
+      name: Indian English Accent
+      type: WillHeld/india_accent_cv
+      args: 'split: train'
+    metrics:
+    - type: wer
+      value: 7.5056000168263415
+      name: Wer
+---
+
+<!-- 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 Indian English Acccent
+
+This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the Indian English Accent dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2065
+- Wer: 7.5056
+
+## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Wer     |
+|:-------------:|:------:|:-----:|:---------------:|:-------:|
+| 0.342         | 0.1943 | 1000  | 0.3226          | 14.1310 |
+| 0.2741        | 0.3885 | 2000  | 0.3130          | 13.9553 |
+| 0.2576        | 0.5828 | 3000  | 0.2967          | 12.9931 |
+| 0.2825        | 0.7770 | 4000  | 0.2692          | 12.3390 |
+| 0.2295        | 0.9713 | 5000  | 0.2565          | 11.8331 |
+| 0.1489        | 1.1655 | 6000  | 0.2498          | 11.6933 |
+| 0.1485        | 1.3598 | 7000  | 0.2452          | 11.1411 |
+| 0.1385        | 1.5540 | 8000  | 0.2346          | 10.4428 |
+| 0.1253        | 1.7483 | 9000  | 0.2254          | 10.1852 |
+| 0.1297        | 1.9425 | 10000 | 0.2144          | 9.7109  |
+| 0.0594        | 2.1368 | 11000 | 0.2174          | 9.5363  |
+| 0.0629        | 2.3310 | 12000 | 0.2136          | 9.8276  |
+| 0.0654        | 2.5253 | 13000 | 0.2102          | 9.4301  |
+| 0.0625        | 2.7195 | 14000 | 0.2075          | 8.9432  |
+| 0.0574        | 2.9138 | 15000 | 0.2009          | 8.7802  |
+| 0.0276        | 3.1080 | 16000 | 0.2050          | 8.4594  |
+| 0.0251        | 3.3023 | 17000 | 0.2046          | 8.5951  |
+| 0.0246        | 3.4965 | 18000 | 0.2035          | 8.1187  |
+| 0.0259        | 3.6908 | 19000 | 0.2002          | 8.0588  |
+| 0.021         | 3.8850 | 20000 | 0.1951          | 7.9147  |
+| 0.0072        | 4.0793 | 21000 | 0.2053          | 7.7548  |
+| 0.0067        | 4.2735 | 22000 | 0.2085          | 7.4972  |
+| 0.0067        | 4.4678 | 23000 | 0.2094          | 7.6970  |
+| 0.0062        | 4.6620 | 24000 | 0.2071          | 7.7433  |
+| 0.0046        | 4.8563 | 25000 | 0.2065          | 7.5056  |
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.2.0a0+81ea7a4
+- Datasets 3.3.2
+- Tokenizers 0.21.0

config.json

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+{
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "apply_spec_augment": false,
+  "architectures": [
+    "WhisperForConditionalGeneration"
+  ],
+  "attention_dropout": 0.0,
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+    50256
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+  "classifier_proj_size": 256,
+  "d_model": 1280,
+  "decoder_attention_heads": 20,
+  "decoder_ffn_dim": 5120,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 4,
+  "decoder_start_token_id": 50258,
+  "dropout": 0.0,
+  "encoder_attention_heads": 20,
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+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.0,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.05,
+  "max_source_positions": 1500,
+  "max_target_positions": 448,
+  "median_filter_width": 7,
+  "model_type": "whisper",
+  "num_hidden_layers": 32,
+  "num_mel_bins": 128,
+  "pad_token_id": 50257,
+  "scale_embedding": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.50.3",
+  "use_cache": true,
+  "use_weighted_layer_sum": false,
+  "vocab_size": 51866
+}

generation_config.json

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special_tokens_map.json

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