README.md

@@ -1,48 +0,0 @@
----
-language: en
-datasets:
-- LIUM/tedlium
-tags:
-- speech
-- audio
-- automatic-speech-recognition
----
-Finetuned from [facebook/wav2vec2-large-960h-lv60-self](https://huggingface.co/facebook/wav2vec2-large-960h-lv60-self).
-
-# Installation
-1. PyTorch installation: https://pytorch.org/
-2. Install transformers: https://huggingface.co/docs/transformers/installation
-
-e.g., installation by conda
-```
->> conda create -n wav2vec2 python=3.8
->> conda install pytorch cudatoolkit=11.3 -c pytorch
->> conda install -c conda-forge transformers
-```
-
-# Usage
-```python
-# Load the model and processor
-from transformers import Wav2Vec2Processor, Wav2Vec2ForCTC
-import numpy as np
-import torch
-
-model = Wav2Vec2ForCTC.from_pretrained(r'yongjian/wav2vec2-large-a') # Note: PyTorch Model
-processor = Wav2Vec2Processor.from_pretrained(r'yongjian/wav2vec2-large-a')
-
-# Load input
-np_wav = np.random.normal(size=(16000)).clip(-1, 1) # change it to your sample
-
-# Inference
-sample_rate = processor.feature_extractor.sampling_rate
-with torch.no_grad():
-    model_inputs = processor(np_wav, sampling_rate=sample_rate, return_tensors="pt", padding=True)
-    logits = model(model_inputs.input_values, attention_mask=model_inputs.attention_mask).logits # use .cuda() for GPU acceleration
-    pred_ids = torch.argmax(logits, dim=-1).cpu()
-    pred_text = processor.batch_decode(pred_ids)
-print('Transcription:', pred_text)
-```
-
-# Code
-GitHub Repo:
-https://github.com/CassiniHuy/wav2vec2_finetune

config.json

@@ -1,108 +0,0 @@
-{
-  "activation_dropout": 0.1,
-  "adapter_kernel_size": 3,
-  "adapter_stride": 2,
-  "add_adapter": false,
-  "apply_spec_augment": true,
-  "architectures": [
-    "Wav2Vec2ForCTC"
-  ],
-  "attention_dropout": 0.1,
-  "bos_token_id": 1,
-  "classifier_proj_size": 256,
-  "codevector_dim": 256,
-  "contrastive_logits_temperature": 0.1,
-  "conv_bias": true,
-  "conv_dim": [
-    512,
-    512,
-    512,
-    512,
-    512,
-    512,
-    512
-  ],
-  "conv_kernel": [
-    10,
-    3,
-    3,
-    3,
-    3,
-    2,
-    2
-  ],
-  "conv_stride": [
-    5,
-    2,
-    2,
-    2,
-    2,
-    2,
-    2
-  ],
-  "ctc_loss_reduction": "sum",
-  "ctc_zero_infinity": false,
-  "diversity_loss_weight": 0.1,
-  "do_stable_layer_norm": true,
-  "eos_token_id": 2,
-  "feat_extract_activation": "gelu",
-  "feat_extract_dropout": 0.0,
-  "feat_extract_norm": "layer",
-  "feat_proj_dropout": 0.1,
-  "feat_quantizer_dropout": 0.0,
-  "final_dropout": 0.1,
-  "gradient_checkpointing": false,
-  "hidden_act": "gelu",
-  "hidden_dropout": 0.1,
-  "hidden_dropout_prob": 0.1,
-  "hidden_size": 1024,
-  "initializer_range": 0.02,
-  "intermediate_size": 4096,
-  "layer_norm_eps": 1e-05,
-  "layerdrop": 0.1,
-  "mask_feature_length": 10,
-  "mask_feature_min_masks": 0,
-  "mask_feature_prob": 0.0,
-  "mask_time_length": 10,
-  "mask_time_min_masks": 2,
-  "mask_time_prob": 0.05,
-  "model_type": "wav2vec2",
-  "num_adapter_layers": 3,
-  "num_attention_heads": 16,
-  "num_codevector_groups": 2,
-  "num_codevectors_per_group": 320,
-  "num_conv_pos_embedding_groups": 16,
-  "num_conv_pos_embeddings": 128,
-  "num_feat_extract_layers": 7,
-  "num_hidden_layers": 24,
-  "num_negatives": 100,
-  "output_hidden_size": 1024,
-  "pad_token_id": 0,
-  "proj_codevector_dim": 256,
-  "tdnn_dilation": [
-    1,
-    2,
-    3,
-    1,
-    1
-  ],
-  "tdnn_dim": [
-    512,
-    512,
-    512,
-    512,
-    1500
-  ],
-  "tdnn_kernel": [
-    5,
-    3,
-    3,
-    1,
-    1
-  ],
-  "torch_dtype": "float32",
-  "transformers_version": "4.19.4",
-  "use_weighted_layer_sum": false,
-  "vocab_size": 32,
-  "xvector_output_dim": 512
-}

preprocessor_config.json

@@ -1,10 +0,0 @@
-{
-  "do_normalize": true,
-  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
-  "feature_size": 1,
-  "padding_side": "right",
-  "padding_value": 0.0,
-  "processor_class": "Wav2Vec2Processor",
-  "return_attention_mask": true,
-  "sampling_rate": 16000
-}

special_tokens_map.json

@@ -1 +0,0 @@
-{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}

tokenizer_config.json

@@ -1,13 +0,0 @@
-{
-    "unk_token": "<unk>",
-    "bos_token": "<s>",
-    "eos_token": "</s>",
-    "pad_token": "<pad>",
-    "do_lower_case": false,
-    "word_delimiter_token": "|",
-    "replace_word_delimiter_char": " ",
-    "return_attention_mask": true,
-    "do_normalize": true,
-    "processor_class": "Wav2Vec2Processor",
-    "tokenizer_class": "Wav2Vec2CTCTokenizer"
-}

vocab.json

@@ -1,34 +0,0 @@
-{
-    "<pad>": 0,
-    "<s>": 1,
-    "</s>": 2,
-    "<unk>": 3,
-    "|": 4,
-    "E": 5,
-    "T": 6,
-    "A": 7,
-    "O": 8,
-    "N": 9,
-    "I": 10,
-    "H": 11,
-    "S": 12,
-    "R": 13,
-    "D": 14,
-    "L": 15,
-    "U": 16,
-    "M": 17,
-    "W": 18,
-    "C": 19,
-    "F": 20,
-    "G": 21,
-    "Y": 22,
-    "P": 23,
-    "B": 24,
-    "V": 25,
-    "K": 26,
-    "'": 27,
-    "X": 28,
-    "J": 29,
-    "Q": 30,
-    "Z": 31
-}