Training in progress, step 100
Browse files- .gitignore +3 -0
- Untitled.ipynb +0 -0
- config.json +108 -0
- preprocessor_config.json +9 -0
- pytorch_model.bin +3 -0
- training_args.bin +3 -0
- vocab.json +1 -0
.gitignore
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checkpoint-*
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km_kh*
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.ipynb_checkpoints
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Untitled.ipynb
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config.json
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{
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"_name_or_path": "facebook/wav2vec2-xls-r-300m",
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"activation_dropout": 0.0,
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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": 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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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": false,
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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": 0.0,
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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": 10,
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"mask_feature_min_masks": 0,
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"mask_feature_prob": 0.0,
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"mask_time_length": 10,
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"mask_time_min_masks": 2,
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"mask_time_prob": 0.05,
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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": 73,
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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": "float32",
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"transformers_version": "4.17.0.dev0",
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"use_weighted_layer_sum": false,
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"vocab_size": 75,
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"xvector_output_dim": 512
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}
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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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"return_attention_mask": true,
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"sampling_rate": 16000
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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:de338e5c1afe8724c486f34b78be6997d34259229acda73ba51b26c8c304a4d7
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size 1262231153
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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:f53351c36f9166d72fba05a26550d456156793a4caab264b38fc1e6437cf34a8
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size 2991
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vocab.json
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{"\u1780": 1, "\u1781": 2, "\u1782": 3, "\u1783": 4, "\u1784": 5, "\u1785": 6, "\u1786": 7, "\u1787": 8, "\u1788": 9, "\u1789": 10, "\u178a": 11, "\u178b": 12, "\u178c": 13, "\u178d": 14, "\u178e": 15, "\u178f": 16, "\u1790": 17, "\u1791": 18, "\u1792": 19, "\u1793": 20, "\u1794": 21, "\u1795": 22, "\u1796": 23, "\u1797": 24, "\u1798": 25, "\u1799": 26, "\u179a": 27, "\u179b": 28, "\u179c": 29, "\u179f": 30, "\u17a0": 31, "\u17a1": 32, "\u17a2": 33, "\u17a5": 34, "\u17a7": 35, "\u17aa": 36, "\u17ab": 37, "\u17ac": 38, "\u17ad": 39, "\u17ae": 40, "\u17af": 41, "\u17b1": 42, "\u17b6": 43, "\u17b7": 44, "\u17b8": 45, "\u17b9": 46, "\u17ba": 47, "\u17bb": 48, "\u17bc": 49, "\u17bd": 50, "\u17be": 51, "\u17bf": 52, "\u17c0": 53, "\u17c1": 54, "\u17c2": 55, "\u17c3": 56, "\u17c4": 57, "\u17c5": 58, "\u17c6": 59, "\u17c7": 60, "\u17c8": 61, "\u17c9": 62, "\u17ca": 63, "\u17cb": 64, "\u17cc": 65, "\u17cd": 66, "\u17ce": 67, "\u17cf": 68, "\u17d0": 69, "\u17d2": 70, "|": 0, "[UNK]": 72, "[PAD]": 73}
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