saattrupdan
commited on
Finished finetuning 🎉
Browse files- .gitattributes +1 -0
- README.md +52 -0
- added_tokens.json +6 -0
- alphabet.json +1 -0
- config.json +109 -0
- language_model/3gram.bin +3 -0
- language_model/attrs.json +1 -0
- language_model/unigrams.txt +3 -0
- model.safetensors +3 -0
- preprocessor_config.json +10 -0
- special_tokens_map.json +30 -0
- tokenizer_config.json +48 -0
- vocab.json +44 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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language_model/unigrams.txt filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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library_name: transformers
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language:
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- da
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license: openrail
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base_model: facebook/wav2vec2-xls-r-300m
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tags:
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- generated_from_trainer
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model-index:
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- name: roest-315m-xlsr
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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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# roest-315m-xlsr
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
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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: 256
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- eval_batch_size: 256
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- seed: 4242
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- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 1000
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- training_steps: 10000
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.0
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- Tokenizers 0.19.1
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added_tokens.json
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{
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"</s>": 43,
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"<pad>": 45,
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"<s>": 42,
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"<unk>": 44
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}
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alphabet.json
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{"labels": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9", "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z", " ", "\u00e5", "\u00e6", "\u00e9", "\u00f8", "\u00fc", "<s>", "</s>", "\u2047", ""], "is_bpe": false}
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config.json
ADDED
@@ -0,0 +1,109 @@
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{
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"_name_or_path": "facebook/wav2vec2-xls-r-300m",
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"activation_dropout": 0.1,
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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": 0.0,
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"bos_token_id": 42,
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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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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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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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2
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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": 43,
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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": 0.0,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout": 0.0,
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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": 0.0,
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"mask_feature_length": 64,
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"mask_feature_min_masks": 0,
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"mask_feature_prob": 0.5,
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"mask_time_length": 10,
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"mask_time_min_masks": 2,
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"mask_time_prob": 0.5,
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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": 45,
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"proj_codevector_dim": 768,
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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": "bfloat16",
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"transformers_version": "4.44.2",
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"use_weighted_layer_sum": false,
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"vocab_size": 46,
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"xvector_output_dim": 512
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}
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language_model/3gram.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:a8c5d2029a303449ec084834dd6f30ae4341071fd10e375211425335bb0ab8d7
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size 750711338
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language_model/attrs.json
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{"alpha": 0.5, "beta": 1.5, "unk_score_offset": -10.0, "score_boundary": true}
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language_model/unigrams.txt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:683060ef402a6d88def5dc3ff15518b4d44e50ccb7ac12aad81a258d88fb5a72
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size 29668511
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0bd37fe236ceea2d3f7dbcbac4c882b50d91e8c1abf9015535a81d23b602be7a
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size 631024476
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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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"bos_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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"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": {
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"content": "<pad>",
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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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"unk_token": {
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"content": "<unk>",
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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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}
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"42": {
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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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"43": {
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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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"44": {
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"content": "<unk>",
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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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"45": {
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"content": "<pad>",
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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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"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": 512,
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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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vocab.json
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{
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"0": 0,
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"1": 1,
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"2": 2,
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"3": 3,
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"4": 4,
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"5": 5,
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"6": 6,
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"7": 7,
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"8": 8,
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"9": 9,
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"a": 10,
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"b": 11,
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"c": 12,
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"d": 13,
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"e": 14,
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"f": 15,
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"g": 16,
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"h": 17,
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"i": 18,
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"j": 19,
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22 |
+
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|
23 |
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|
24 |
+
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|
25 |
+
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|
26 |
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|
27 |
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|
28 |
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|
29 |
+
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|
30 |
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|
31 |
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|
32 |
+
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|
33 |
+
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|
34 |
+
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|
35 |
+
"x": 33,
|
36 |
+
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|
37 |
+
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|
38 |
+
"|": 36,
|
39 |
+
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|
40 |
+
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|
41 |
+
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|
42 |
+
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|
43 |
+
"ü": 41
|
44 |
+
}
|