Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Instructions to use Makkoen/whisper-large-cit-synth-do02-wd0-lr1e-06-200 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Makkoen/whisper-large-cit-synth-do02-wd0-lr1e-06-200 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Makkoen/whisper-large-cit-synth-do02-wd0-lr1e-06-200")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Makkoen/whisper-large-cit-synth-do02-wd0-lr1e-06-200") model = AutoModelForSpeechSeq2Seq.from_pretrained("Makkoen/whisper-large-cit-synth-do02-wd0-lr1e-06-200", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 50
Browse files
config.json
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{
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"_name_or_path": "openai/whisper-large-v3",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"apply_spec_augment": true,
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"architectures": [
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"WhisperForConditionalGeneration"
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],
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"attention_dropout": 0.0,
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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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"classifier_proj_size": 256,
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"d_model": 1280,
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"decoder_attention_heads": 20,
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"decoder_ffn_dim": 5120,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 32,
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"decoder_start_token_id": 50258,
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"dropout": 0.2,
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"encoder_attention_heads": 20,
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"encoder_ffn_dim": 5120,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 32,
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"eos_token_id": 50257,
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"init_std": 0.02,
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"is_encoder_decoder": true,
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"mask_feature_length": 10,
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"mask_feature_min_masks": 0,
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"mask_feature_prob": 0.05,
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"mask_time_length": 10,
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"mask_time_min_masks": 2,
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"mask_time_prob": 0.05,
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"max_length": 448,
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"max_source_positions": 1500,
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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": 32,
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"num_mel_bins": 128,
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"pad_token_id": 50256,
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"scale_embedding": false,
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"torch_dtype": "float16",
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"transformers_version": "4.42.3",
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"use_cache": true,
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"use_weighted_layer_sum": false,
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"vocab_size": 51866
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8febc5648fa2d9a4da5b3966b12940de2aece5b5cae15fba3d3c888935d46372
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size 3219908024
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preprocessor_config.json
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{
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"chunk_length": 30,
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"feature_extractor_type": "WhisperFeatureExtractor",
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"feature_size": 128,
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"hop_length": 160,
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"n_fft": 400,
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"n_samples": 480000,
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"nb_max_frames": 3000,
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"padding_side": "right",
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"padding_value": 0.0,
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"processor_class": "WhisperProcessor",
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"return_attention_mask": false,
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"sampling_rate": 16000
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}
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runs/Jul01_18-51-30_whisper-finetune2/events.out.tfevents.1719859913.whisper-finetune2
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version https://git-lfs.github.com/spec/v1
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oid sha256:3f441ab61a55076cce021f23621a06e9ace3753e047b252e2c6350c5ec07ebb2
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size 5867
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6902c655cb2929f1040bdc044e5759a1c1c579613aae5de946ef7cdccfd2dcee
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size 6523
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