Upload 6 files

nn/nn_stress_usage_predictor/config.json

@@ -1,32 +1,36 @@
 {
-  "_name_or_path": "5k/",
-  "activation": "gelu",
+  "_name_or_path": "tiny/checkpoint-59441/",
   "architectures": [
-    "DistilBertForTokenClassification"
+    "BertForTokenClassification"
   ],
-  "attention_dropout": 0.1,
-  "dim": 264,
-  "dropout": 0.1,
-  "hidden_dim": 792,
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "emb_size": 312,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 312,
   "id2label": {
     "0": "NO_STRESS",
     "1": "PUNCT",
     "2": "STRESS"
   },
   "initializer_range": 0.02,
+  "intermediate_size": 600,
   "label2id": {
     "NO_STRESS": 0,
     "PUNCT": 1,
     "STRESS": 2
   },
-  "max_position_embeddings": 512,
-  "model_type": "distilbert",
-  "n_heads": 12,
-  "n_layers": 3,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 2048,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 3,
   "pad_token_id": 0,
-  "qa_dropout": 0.1,
-  "seq_classif_dropout": 0.2,
-  "sinusoidal_pos_embds": false,
-  "transformers_version": "4.29.2",
-  "vocab_size": 5031
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.28.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 83828
 }

nn/nn_stress_usage_predictor/model.onnx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1d77b4aa95e2589ee4470e3b9e08e2ddaf6d4a7e90e4e28194dd1731b93cf549
-size 14332169
+oid sha256:3d547500637b4ddfec8880ed6d1405fd50ee9d3f0131ef8a2a69dcf961dbefeb
+size 116473561

nn/nn_stress_usage_predictor/tokenizer_config.json

@@ -4,12 +4,12 @@
   "do_basic_tokenize": true,
   "do_lower_case": false,
   "mask_token": "[MASK]",
-  "model_max_length": 1000000000000000019884624838656,
+  "model_max_length": 2048,
   "never_split": null,
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",
   "strip_accents": null,
   "tokenize_chinese_chars": true,
-  "tokenizer_class": "DistilBertTokenizer",
+  "tokenizer_class": "BertTokenizer",
   "unk_token": "[UNK]"
 }