End of training
Browse files- README.md +79 -0
- config.json +118 -0
- model.safetensors +3 -0
- preprocessor_config.json +10 -0
- runs/May23_15-25-13_ce6be7b8fbe7/events.out.tfevents.1716477918.ce6be7b8fbe7.220.0 +3 -0
- special_tokens_map.json +6 -0
- tokenizer_config.json +50 -0
- training_args.bin +3 -0
- vocab.json +34 -0
README.md
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---
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license: apache-2.0
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base_model: facebook/wav2vec2-base
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tags:
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- generated_from_trainer
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datasets:
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- minds14
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metrics:
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- wer
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model-index:
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- name: my_awesome_asr_mind_model
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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: minds14
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type: minds14
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config: en-US
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split: None
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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: 1.0
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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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# my_awesome_asr_mind_model
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 35.6176
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- Wer: 1.0
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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: 1e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 8
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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: 5
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- training_steps: 5
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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 |
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|:-------------:|:-----:|:----:|:---------------:|:---:|
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| 35.3435 | 0.5 | 5 | 35.6176 | 1.0 |
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### Framework versions
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- Transformers 4.41.0
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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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_attn_dim": null,
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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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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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2,
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2,
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2,
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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": 0.1,
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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": 0.0,
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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": 0,
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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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],
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"torch_dtype": "float32",
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"transformers_version": "4.41.0",
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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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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:25e20d03e3456b2908b23573d8c30ed8a0652e1aec488abdab2d9988b6b3a66b
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size 377611120
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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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"processor_class": "Wav2Vec2Processor",
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"return_attention_mask": false,
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"sampling_rate": 16000
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}
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runs/May23_15-25-13_ce6be7b8fbe7/events.out.tfevents.1716477918.ce6be7b8fbe7.220.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:be2be2b525d21141e02617b862542a437dce357b3609721057637c72854a04b9
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size 7393
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special_tokens_map.json
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{
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"bos_token": "<s>",
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"eos_token": "</s>",
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"pad_token": "<pad>",
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"unk_token": "<unk>"
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}
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "<pad>",
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"lstrip": true,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
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"special": false
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},
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"1": {
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"content": "<s>",
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"lstrip": true,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
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"special": false
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},
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"2": {
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"content": "</s>",
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"lstrip": true,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
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"special": false
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},
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"3": {
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"content": "<unk>",
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"lstrip": true,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
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"special": false
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}
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},
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": true,
|
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"do_lower_case": false,
|
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"do_normalize": true,
|
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"eos_token": "</s>",
|
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"model_max_length": 1000000000000000019884624838656,
|
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"pad_token": "<pad>",
|
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"processor_class": "Wav2Vec2Processor",
|
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"replace_word_delimiter_char": " ",
|
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"return_attention_mask": false,
|
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"target_lang": null,
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"tokenizer_class": "Wav2Vec2CTCTokenizer",
|
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"unk_token": "<unk>",
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"word_delimiter_token": "|"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:55b908ec1e6278677b370079ce89af34ccdeaf00df2dba78b3367965f024bccf
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size 5112
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vocab.json
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{
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"'": 27,
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"</s>": 2,
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"<pad>": 0,
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"<s>": 1,
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"F": 20,
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"G": 21,
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"H": 11,
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"I": 10,
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"K": 26,
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"L": 15,
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"M": 17,
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"N": 9,
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"O": 8,
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"P": 23,
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"Q": 30,
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"R": 13,
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"S": 12,
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"T": 6,
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"U": 16,
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"V": 25,
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"W": 18,
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"X": 28,
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"Y": 22,
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"Z": 31,
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"|": 4
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}
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