Upload noLM model
Browse files- README.md +84 -0
- config.json +117 -0
- preprocessor_config.json +9 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- training_args.bin +3 -0
- vocab.json +1 -0
README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: wav2vec-base-Millad_TIMIT
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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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# wav2vec-base-Millad_TIMIT
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3772
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- Wer: 0.6859
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- Cer: 0.3217
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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: 0.0001
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- train_batch_size: 8
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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: 5000
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- num_epochs: 60
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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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| No log | 2.36 | 2000 | 2.6233 | 1.0130 | 0.6241 |
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| No log | 4.73 | 4000 | 2.2206 | 0.9535 | 0.5032 |
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| No log | 7.09 | 6000 | 2.3036 | 0.9368 | 0.5063 |
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| 1.235 | 9.46 | 8000 | 1.9932 | 0.9275 | 0.5032 |
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| 1.235 | 11.82 | 10000 | 2.0207 | 0.8922 | 0.4498 |
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| 1.235 | 14.18 | 12000 | 1.6171 | 0.7993 | 0.3976 |
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| 1.235 | 16.55 | 14000 | 1.6729 | 0.8309 | 0.4209 |
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| 0.2779 | 18.91 | 16000 | 1.7043 | 0.8141 | 0.4340 |
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| 0.2779 | 21.28 | 18000 | 1.7426 | 0.7658 | 0.3960 |
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| 0.2779 | 23.64 | 20000 | 1.5230 | 0.7361 | 0.3830 |
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| 0.2779 | 26.0 | 22000 | 1.4286 | 0.7658 | 0.3794 |
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| 0.1929 | 28.37 | 24000 | 1.4450 | 0.7379 | 0.3644 |
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| 0.1929 | 30.73 | 26000 | 1.5922 | 0.7491 | 0.3826 |
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| 0.1929 | 33.1 | 28000 | 1.4443 | 0.7454 | 0.3617 |
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| 0.1929 | 35.46 | 30000 | 1.5450 | 0.7268 | 0.3621 |
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| 0.1394 | 37.83 | 32000 | 1.9268 | 0.7491 | 0.3763 |
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| 0.1394 | 40.19 | 34000 | 1.7094 | 0.7342 | 0.3783 |
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| 0.1394 | 42.55 | 36000 | 1.4024 | 0.7082 | 0.3494 |
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| 0.1394 | 44.92 | 38000 | 1.4467 | 0.6840 | 0.3395 |
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| 0.104 | 47.28 | 40000 | 1.4145 | 0.6933 | 0.3407 |
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| 0.104 | 49.65 | 42000 | 1.3901 | 0.6970 | 0.3403 |
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| 0.104 | 52.01 | 44000 | 1.3589 | 0.6636 | 0.3348 |
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| 0.104 | 54.37 | 46000 | 1.3716 | 0.6952 | 0.3340 |
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| 0.0781 | 56.74 | 48000 | 1.4025 | 0.6896 | 0.3312 |
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| 0.0781 | 59.1 | 50000 | 1.3772 | 0.6859 | 0.3217 |
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### Framework versions
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- Transformers 4.17.0
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- Pytorch 1.12.0+cu113
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- Datasets 1.18.3
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- Tokenizers 0.12.1
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config.json
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{
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"_name_or_path": "facebook/wav2vec2-base",
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"activation_dropout": 0.0,
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"adapter_kernel_size": 3,
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"adapter_stride": 2,
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"add_adapter": false,
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"apply_spec_augment": true,
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"architectures": [
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"Wav2Vec2ForCTC"
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],
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"attention_dropout": 0.1,
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"bos_token_id": 1,
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"classifier_proj_size": 256,
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"codevector_dim": 256,
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"contrastive_logits_temperature": 0.1,
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"conv_bias": false,
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"conv_dim": [
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512,
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512,
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512,
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512,
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512,
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512,
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512
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],
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"conv_kernel": [
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10,
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3,
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3,
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3,
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3,
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2
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],
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"conv_stride": [
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5,
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2,
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],
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"ctc_loss_reduction": "mean",
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"ctc_zero_infinity": false,
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"diversity_loss_weight": 0.1,
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"do_stable_layer_norm": false,
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"eos_token_id": 2,
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"feat_extract_activation": "gelu",
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"feat_extract_norm": "group",
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"feat_proj_dropout": 0.0,
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"feat_quantizer_dropout": 0.0,
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"final_dropout": 0.0,
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"freeze_feat_extract_train": true,
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"hidden_act": "gelu",
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"hidden_dropout": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"layerdrop": 0.1,
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"mask_channel_length": 10,
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"mask_channel_min_space": 1,
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"mask_channel_other": 0.0,
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"mask_channel_prob": 0.0,
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"mask_channel_selection": "static",
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"mask_feature_length": 10,
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"mask_feature_min_masks": 0,
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"mask_feature_prob": 0.0,
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"mask_time_length": 10,
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"mask_time_min_masks": 2,
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"mask_time_min_space": 1,
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"mask_time_other": 0.0,
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"mask_time_prob": 0.05,
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"mask_time_selection": "static",
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"model_type": "wav2vec2",
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"no_mask_channel_overlap": false,
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"no_mask_time_overlap": false,
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"num_adapter_layers": 3,
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"num_attention_heads": 12,
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"num_codevector_groups": 2,
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"num_codevectors_per_group": 320,
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"num_conv_pos_embedding_groups": 16,
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"num_conv_pos_embeddings": 128,
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"num_feat_extract_layers": 7,
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"num_hidden_layers": 12,
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"num_negatives": 100,
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"output_hidden_size": 768,
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"pad_token_id": 29,
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"proj_codevector_dim": 256,
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"tdnn_dilation": [
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1,
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2,
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3,
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1,
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1
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],
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"tdnn_dim": [
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512,
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512,
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512,
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512,
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1500
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],
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"tdnn_kernel": [
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5,
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3,
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3,
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1,
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1
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],
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"torch_dtype": "float32",
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"transformers_version": "4.17.0",
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"use_weighted_layer_sum": false,
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"vocab_size": 32,
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"xvector_output_dim": 512
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}
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preprocessor_config.json
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{
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"do_normalize": true,
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"feature_extractor_type": "Wav2Vec2FeatureExtractor",
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"feature_size": 1,
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"padding_side": "right",
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"padding_value": 0.0,
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"return_attention_mask": false,
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"sampling_rate": 16000
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:f7660bb50b2610d533692541a858ad60a53f6ec386962b573063767d6c57b143
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size 377671575
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special_tokens_map.json
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{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "[UNK]", "pad_token": "[PAD]"}
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tokenizer_config.json
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{"unk_token": "[UNK]", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "[PAD]", "do_lower_case": false, "word_delimiter_token": "|", "replace_word_delimiter_char": " ", "tokenizer_class": "Wav2Vec2CTCTokenizer"}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7fb6d7781d95ef03add3c711bad998ac868e58302c0baa3c2f1bbb146225d257
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size 3055
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vocab.json
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{"y": 0, "r": 1, "m": 2, "j": 3, "a": 4, "g": 5, "q": 6, "s": 7, "n": 8, "l": 9, "d": 10, "i": 11, "e": 12, "o": 13, "u": 14, "z": 15, "t": 16, "x": 17, "f": 18, "p": 19, "'": 21, "k": 22, "c": 23, "b": 24, "h": 25, "v": 26, "w": 27, "[UNK]": 28, "[PAD]": 29, "|": 20}
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