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  1. README.md +14 -0
  2. config.json +75 -0
  3. pytorch_model.bin +3 -0
README.md ADDED
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+ ---
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+ language: sv
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+ tags:
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+ - audio
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+ - automatic-speech-recognition
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+ - voxpopuli
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+ license: apache-2.0
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+ ---
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+
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+ # Wav2Vec2-Large-VoxPopuli
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+
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+ [Facebook's Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/) large model pretrained on the **sv** subset of [VoxPopuli corpus](https://arxiv.org/abs/2101.00390).
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+
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+ See the official website for more information, [here](https://github.com/facebookresearch/voxpopuli/tree/add_vp_asr)
config.json ADDED
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+ {
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+ "activation_dropout": 0.0,
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+ "apply_spec_augment": true,
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+ "architectures": [
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+ "Wav2Vec2Model"
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+ ],
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+ "attention_dropout": 0.1,
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+ "bos_token_id": 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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+ 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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+ ],
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+ "ctc_loss_reduction": "sum",
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+ "ctc_zero_infinity": false,
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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": 0.1,
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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": 0.1,
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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": 0.1,
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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_prob": 0.0,
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+ "mask_time_length": 10,
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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": 0.075,
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+ "mask_time_selection": "static",
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+ "model_type": "wav2vec2",
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+ "num_attention_heads": 16,
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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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+ "pad_token_id": 0,
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+ "transformers_version": "4.6.0.dev0",
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+ "vocab_size": 32
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+ }
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