End of training

README.md

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+---
+language:
+- hi
+license: apache-2.0
+base_model: CKSINGH/whisper-small-hi-graminVoice
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Whisper small Hi - CKS 2411 finalbatch
+  results: []
+---
+
+<!-- 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 - CKS 2411 finalbatch
+
+This model is a fine-tuned version of [CKSINGH/whisper-small-hi-graminVoice](https://huggingface.co/CKSINGH/whisper-small-hi-graminVoice) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4932
+- Wer: 34.6890
+- Cer: 23.4230
+
+## 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: 1.75e-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: 500
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| 0.1262        | 8.77  | 500  | 0.4595          | 29.7847 | 17.7683 |
+| 0.006         | 17.54 | 1000 | 0.4932          | 34.6890 | 23.4230 |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

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+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": [
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+  "max_length": 448,
+  "pad_token_id": 50257,
+  "return_timestamps": false,
+  "suppress_tokens": [],
+  "transformers_version": "4.36.0.dev0",
+  "use_cache": false
+}

model.safetensors

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