End of training
Browse files- README.md +17 -19
- config.json +9 -9
- generation_config.json +12 -26
- model.safetensors +2 -2
- training_args.bin +1 -1
README.md
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---
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library_name: transformers
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language:
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- dv
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license: apache-2.0
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base_model: openai/whisper-
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tags:
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- generated_from_trainer
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datasets:
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-
-
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metrics:
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- wer
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model-index:
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- name:
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name:
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type:
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config:
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split:
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args:
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metrics:
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- name: Wer
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type: wer
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value:
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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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#
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This model is a fine-tuned version of [openai/whisper-
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer Ortho:
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- Wer:
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## Model description
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### Training results
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| Training Loss | Epoch
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| 0.
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### Framework versions
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---
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library_name: transformers
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license: apache-2.0
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base_model: openai/whisper-tiny
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tags:
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- generated_from_trainer
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datasets:
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- PolyAI/minds14
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metrics:
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- wer
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model-index:
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- name: whisper_tiny-finetuned-minds14
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: PolyAI/minds14
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type: PolyAI/minds14
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config: en-US
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split: train
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args: en-US
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metrics:
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- name: Wer
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type: wer
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value: 0.32585596221959856
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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_tiny-finetuned-minds14
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7246
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- Wer Ortho: 0.3233
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- Wer: 0.3259
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
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|:-------------:|:-------:|:----:|:---------------:|:---------:|:------:|
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| 0.0007 | 17.8571 | 500 | 0.7246 | 0.3233 | 0.3259 |
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### Framework versions
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config.json
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{
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"_name_or_path": "openai/whisper-
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"apply_spec_augment": false,
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"begin_suppress_tokens": null,
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"bos_token_id": 50257,
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"classifier_proj_size": 256,
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"dropout": 0.0,
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"eos_token_id": 50257,
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"forced_decoder_ids": [
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[
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"max_target_positions": 448,
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"median_filter_width": 7,
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"model_type": "whisper",
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"num_hidden_layers":
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"num_mel_bins": 80,
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"pad_token_id": 50257,
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"scale_embedding": false,
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{
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"_name_or_path": "openai/whisper-tiny",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"apply_spec_augment": false,
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"begin_suppress_tokens": null,
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"bos_token_id": 50257,
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"classifier_proj_size": 256,
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"d_model": 384,
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"decoder_attention_heads": 6,
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"decoder_ffn_dim": 1536,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 4,
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"decoder_start_token_id": 50258,
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"dropout": 0.0,
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"encoder_attention_heads": 6,
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"encoder_ffn_dim": 1536,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 4,
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"eos_token_id": 50257,
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"forced_decoder_ids": [
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[
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"max_target_positions": 448,
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"median_filter_width": 7,
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"model_type": "whisper",
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"num_hidden_layers": 4,
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"num_mel_bins": 80,
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"pad_token_id": 50257,
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"scale_embedding": false,
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generation_config.json
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model.safetensors
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training_args.bin
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