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Browse files- README.md +14 -0
- config.json +68 -0
- pytorch_model.bin +3 -0
README.md
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---
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language: 10k
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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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# Wav2Vec2-Base-VoxPopuli
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[Facebook's Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/) base model pretrained on the **10k** subset of [VoxPopuli corpus](https://arxiv.org/abs/2101.00390).
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See the official website for more information, [here](https://github.com/facebookresearch/voxpopuli/tree/add_vp_asr)
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config.json
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{
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"activation_dropout": 0.1,
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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": 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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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": "sum",
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"ctc_zero_infinity": false,
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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_dropout": 0.0,
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"feat_extract_norm": "group",
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"feat_proj_dropout": 0.1,
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"final_dropout": 0.1,
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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_dropout_prob": 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": 0.1,
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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_prob": 0.05,
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"model_type": "wav2vec2",
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"num_attention_heads": 12,
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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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"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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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:80c70e65e0dc79375fc54b11a183441f2bc4f43a3fcdd768c4d857bfaefc344e
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size 377569754
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