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arslanarjumand/wav2vec-reptiles
Browse files- README.md +69 -0
- added_tokens.json +4 -0
- config.json +109 -0
- model.safetensors +3 -0
- preprocessor_config.json +10 -0
- special_tokens_map.json +28 -0
- tokenizer_config.json +52 -0
- training_args.bin +3 -0
- vocab.json +31 -0
README.md
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---
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license: apache-2.0
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base_model: vitouphy/wav2vec2-xls-r-300m-english
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tags:
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- generated_from_trainer
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model-index:
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- name: wav2vec-reptiles
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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-reptiles
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This model is a fine-tuned version of [vitouphy/wav2vec2-xls-r-300m-english](https://huggingface.co/vitouphy/wav2vec2-xls-r-300m-english) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2223.3787
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- Pcc Accuracy: 0.2187
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- Pcc Fluency: 0.0834
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- Pcc Total Score: 0.1532
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- Pcc Content: 0.2235
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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: 5e-05
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- train_batch_size: 4
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- eval_batch_size: 6
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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: cosine
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- lr_scheduler_warmup_ratio: 0.4
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- num_epochs: 25
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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 | Pcc Accuracy | Pcc Fluency | Pcc Total Score | Pcc Content |
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|:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------:|:---------------:|:-----------:|
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| 2728.7846 | 5.0 | 100 | 3196.0576 | 0.3476 | -0.2327 | -0.3110 | 0.2340 |
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| 2491.7434 | 10.0 | 200 | 2875.6025 | 0.2791 | -0.0388 | -0.0724 | 0.2475 |
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| 1926.2301 | 15.0 | 300 | 2480.8772 | 0.2280 | 0.0499 | 0.1131 | 0.2334 |
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| 2065.1381 | 20.0 | 400 | 2265.0391 | 0.2201 | 0.0799 | 0.1478 | 0.2238 |
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| 1903.073 | 25.0 | 500 | 2223.3787 | 0.2187 | 0.0834 | 0.1532 | 0.2235 |
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### Framework versions
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- Transformers 4.37.0
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- Pytorch 2.1.2
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- Datasets 2.17.0
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- Tokenizers 0.15.1
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added_tokens.json
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{
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"</s>": 30,
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"<s>": 29
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}
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config.json
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{
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"_name_or_path": "vitouphy/wav2vec2-xls-r-300m-english",
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"activation_dropout": 0.006,
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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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"Wav2Vec2ForWav2Vec2ForCTCAndUttranceRegression"
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],
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"attention_dropout": 0.0094,
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"bos_token_id": 1,
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"classifier_proj_size": 256,
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"codevector_dim": 768,
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"contrastive_logits_temperature": 0.1,
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"conv_bias": true,
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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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],
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"conv_stride": [
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5,
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],
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"ctc_loss_reduction": "mean",
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"ctc_zero_infinity": true,
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"diversity_loss_weight": 0.1,
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"do_stable_layer_norm": true,
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"eos_token_id": 2,
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"feat_extract_activation": "gelu",
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"feat_extract_dropout": 0.0,
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"feat_extract_norm": "layer",
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"feat_proj_dropout": 0.0,
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"feat_quantizer_dropout": 0.0,
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"final_dropout": 0.0005,
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"gradient_checkpointing": false,
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"hidden_act": "gelu_new",
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"hidden_dropout": 0.004,
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"layer_norm_eps": 1e-05,
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"layerdrop": 0.0005,
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"mask_feature_length": 5,
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"mask_feature_min_masks": 2,
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"mask_feature_prob": 0.0075,
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"mask_time_length": 5,
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"mask_time_min_masks": 2,
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"mask_time_prob": 0.0085,
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"model_type": "wav2vec2",
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"num_adapter_layers": 3,
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"num_attention_heads": 16,
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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": 24,
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"num_negatives": 100,
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"output_hidden_size": 1024,
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"pad_token_id": 28,
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"proj_codevector_dim": 768,
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"tdnn_dilation": [
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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": "4.37.0",
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"use_weighted_layer_sum": false,
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"vocab_size": 31,
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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 sha256:0d03ae21377669660184c9ffc98e3b22fc8fc609e5e7c5633f51c53ad78a8336
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size 1261874520
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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": true,
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"sampling_rate": 16000
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}
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special_tokens_map.json
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{
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"additional_special_tokens": [
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{
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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{
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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],
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"bos_token": "<s>",
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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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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"27": {
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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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"28": {
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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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"29": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"30": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": [
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"<s>",
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"</s>"
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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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"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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"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 sha256:2f54219229ffd0652e89c138b196f81421a689404ecbfedf03264f45dd509842
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size 4664
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vocab.json
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{
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"[PAD]": 28,
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"[UNK]": 27,
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"a": 1,
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"b": 2,
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"c": 3,
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"d": 4,
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"e": 5,
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"f": 6,
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"g": 7,
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"h": 8,
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"i": 9,
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"j": 10,
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"k": 11,
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"l": 12,
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"m": 13,
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"n": 14,
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"o": 15,
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"p": 16,
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"q": 17,
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"r": 18,
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"s": 19,
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"t": 20,
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"u": 21,
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"v": 22,
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"w": 23,
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"x": 24,
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"y": 25,
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"z": 26,
|
30 |
+
"|": 0
|
31 |
+
}
|