End of training
Browse files- README.md +66 -0
- generation_config.json +29 -0
README.md
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---
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language:
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- hi
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license: apache-2.0
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base_model: CKSINGH/whisper-small-hi-firefox
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tags:
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- hf-asr-leaderboard
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: Whisper small Hi - CKS 2411 graminVoice
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Whisper small Hi - CKS 2411 graminVoice
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This model is a fine-tuned version of [CKSINGH/whisper-small-hi-firefox](https://huggingface.co/CKSINGH/whisper-small-hi-firefox) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4751
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- Wer: 37.6174
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- Cer: 18.8637
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1.75e-05
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 1
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- training_steps: 1
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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| 0.4479 | 0.02 | 1 | 0.4751 | 37.6174 | 18.8637 |
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### Framework versions
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- Transformers 4.36.0.dev0
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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generation_config.json
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{
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"begin_suppress_tokens": [
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220,
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50257
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],
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"bos_token_id": 50257,
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"decoder_start_token_id": 50258,
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"eos_token_id": 50257,
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"forced_decoder_ids": [
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[
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1,
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50276
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],
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[
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2,
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50359
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],
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[
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3,
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50363
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]
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],
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"max_length": 448,
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"pad_token_id": 50257,
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"return_timestamps": false,
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"suppress_tokens": [],
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"transformers_version": "4.36.0.dev0",
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"use_cache": false
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}
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