Upload 3 files

config.json

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+{
+  "_name_or_path": "facebook/hubert-base-ls960",
+  "activation_dropout": 0.1,
+  "adapter_kernel_size": 3,
+  "adapter_stride": 2,
+  "add_adapter": false,
+  "apply_spec_augment": true,
+  "architectures": [
+    "Wav2Vec2SAP"
+  ],
+  "attention_dropout": 0.1,
+  "bos_token_id": 1,
+  "classifier_proj_size": 256,
+  "codevector_dim": 256,
+  "contrastive_logits_temperature": 0.1,
+  "conv_bias": false,
+  "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": false,
+  "eos_token_id": 2,
+  "feat_extract_activation": "gelu",
+  "feat_extract_dropout": 0.0,
+  "feat_extract_norm": "group",
+  "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": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "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": 12,
+  "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": 12,
+  "num_negatives": 100,
+  "output_hidden_size": 768,
+  "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
+  ],
+  "tokenizer_class": "Wav2Vec2CTCTokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.18.0",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 32,
+  "xvector_output_dim": 512
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3a8a4919673d0ad55668a2c81e896366a60db835c4a629d09d36e7672247ab84
+size 379922579

results.txt

@@ -0,0 +1,92 @@
+Iteration: 0 - Loss: 5.867379665374756 
+Pearsonr: 0.0028354616317359032; P: 0.9516919355087852 
+Spearmanr: 0.012299765484740878; P: 0.7927008078133582 
+
+Iteration: 200 - Loss: 3.7480859756469727 
+Pearsonr: 0.6822427720997155; P: 3.8114867974009106e-64 
+Spearmanr: 0.6987927552459419; P: 1.714898855652711e-68 
+
+Iteration: 400 - Loss: 2.0871903896331787 
+Pearsonr: 0.6943990472247945; P: 2.612534323701347e-67 
+Spearmanr: 0.698542095171836; P: 2.0058476660977182e-68 
+
+Iteration: 600 - Loss: 1.3873023986816406 
+Pearsonr: 0.7382703009781203; P: 3.539646706959335e-80 
+Spearmanr: 0.7317829917482052; P: 4.0871994881328883e-78 
+
+Iteration: 800 - Loss: 1.6505166292190552 
+Pearsonr: 0.7465803710876929; P: 6.538924589337557e-83 
+Spearmanr: 0.7414975687829316; P: 3.1616087401744213e-81 
+
+Iteration: 1000 - Loss: 1.5760451555252075 
+Pearsonr: 0.757935030756042; P: 7.998492014911909e-87 
+Spearmanr: 0.7598607705301921; P: 1.6517174271374772e-87 
+
+Iteration: 1200 - Loss: 1.286901831626892 
+Pearsonr: 0.7878125446249106; P: 3.060342803100379e-98 
+Spearmanr: 0.7823517522386733; P: 5.090941237732941e-96 
+
+Iteration: 1400 - Loss: 3.440028190612793 
+Pearsonr: 0.7594830946088903; P: 2.2532070980525375e-87 
+Spearmanr: 0.758575530094818; P: 4.740985098161106e-87 
+
+Iteration: 1600 - Loss: 0.8019772171974182 
+Pearsonr: 0.7768805717302603; P: 7.38705989563506e-94 
+Spearmanr: 0.7702167368907785; P: 2.628935078242846e-91 
+
+Iteration: 1800 - Loss: 1.4795581102371216 
+Pearsonr: 0.7696546871144265; P: 4.2757988951980333e-91 
+Spearmanr: 0.7647337765893464; P: 2.8518454357595734e-89 
+
+Iteration: 2000 - Loss: 0.7853589057922363 
+Pearsonr: 0.7958349190270064; P: 1.2618719971811567e-101 
+Spearmanr: 0.7880092395740745; P: 2.5383201459914505e-98 
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+Iteration: 2200 - Loss: 0.7508143782615662 
+Pearsonr: 0.7832399027977113; P: 2.2385521795276424e-96 
+Spearmanr: 0.7752700843832545; P: 3.1124469433138995e-93 
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+Iteration: 2400 - Loss: 0.6243414878845215 
+Pearsonr: 0.7965960366731291; P: 5.915798260829097e-102 
+Spearmanr: 0.7945271660875569; P: 4.6031071332605635e-101 
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+Iteration: 2600 - Loss: 0.8454068303108215 
+Pearsonr: 0.7812743191623615; P: 1.3722313859908278e-95 
+Spearmanr: 0.7722127384529298; P: 4.6208024170937416e-92 
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+Iteration: 2800 - Loss: 0.43072304129600525 
+Pearsonr: 0.7763269153914357; P: 1.2128208094472161e-93 
+Spearmanr: 0.763392420111192; P: 8.802552267016054e-89 
+
+Iteration: 3000 - Loss: 0.9466016292572021 
+Pearsonr: 0.7794136428091348; P: 7.505224540929025e-95 
+Spearmanr: 0.7732777439352554; P: 1.814177327074164e-92 
+
+Iteration: 3200 - Loss: 0.6584780216217041 
+Pearsonr: 0.7914478464882384; P: 9.342569140562221e-100 
+Spearmanr: 0.7821939455941844; P: 5.888762177139021e-96 
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+Iteration: 3400 - Loss: 0.6548047065734863 
+Pearsonr: 0.8005467401053116; P: 1.1001062577181383e-103 
+Spearmanr: 0.8003169025058752; P: 1.3905231416379682e-103 
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+Iteration: 3600 - Loss: 0.435733437538147 
+Pearsonr: 0.7806550155780387; P: 2.420157587523084e-95 
+Spearmanr: 0.768956619273207; P: 7.80798530040152e-91 
+
+Iteration: 3800 - Loss: 1.8730363845825195 
+Pearsonr: 0.7884560152829609; P: 1.658562138153901e-98 
+Spearmanr: 0.7875980025733722; P: 3.752018888637302e-98 
+
+Iteration: 4000 - Loss: 0.6273457407951355 
+Pearsonr: 0.7902370138145393; P: 3.009679742052806e-99 
+Spearmanr: 0.7902340678855697; P: 3.018229553013081e-99 
+
+Iteration: 4200 - Loss: 0.3261318504810333 
+Pearsonr: 0.7951340031012234; P: 2.5278939659288376e-101 
+Spearmanr: 0.7879911936087802; P: 2.582271764255765e-98 
+
+Iteration: 4400 - Loss: 0.9046502113342285 
+Pearsonr: 0.802561513418009; P: 1.392517582493545e-104 
+Spearmanr: 0.795848197069901; P: 1.245339358156881e-101 
+