added trained model

dataset-configs.json

@@ -0,0 +1,20 @@
+{
+    "FR_PAR": {
+        "dev_data_path": "data/frpar/fold_21/dev_set.tsv",
+        "tasks": {
+            "frpar": {
+                "layers_to_use": [
+                    -1
+                ],
+                "loss_weight": 1,
+                "metric": "multi_acc",
+                "topn": 1,
+                "threshold": 0.7,
+                "column_idx": 1,
+                "task_type": "multiseq"
+            }
+        },
+        "train_data_path": "data/frpar/fold_21/training_set.tsv",
+        "word_idx": 0
+    }
+}

eventnet_model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cc0ac9068c8f072dcd097b88740d5de59ba4e024a927af0856bc93225b9fc1a4
+size 464631800

params-config.json

@@ -0,0 +1,73 @@
+{
+    "batching": {
+        "batch_size": 64,
+        "max_tokens": 1024,
+        "sampling_smoothing": 1,
+        "sort_by_size": true
+    },
+    "decoders": {
+        "classification": {},
+        "default_decoder": {
+            "layers_to_use": [
+                -1
+            ],
+            "loss_weight": 1,
+            "metric": "accuracy",
+            "topn": 1
+        },
+        "dependency": {
+            "arc_representation_dim": 768,
+            "metric": "las",
+            "tag_representation_dim": 256
+        },
+        "mlm": {
+            "metric": "perplexity"
+        },
+        "multiclas": {
+            "metric": "multi_acc",
+            "threshold": 0.7
+        },
+        "multiseq": {
+            "metric": "multi_acc",
+            "threshold": 0.7
+        },
+        "regression": {
+            "metric": "avg_dist"
+        },
+        "seq": {},
+        "seq_bio": {
+            "metric": "span_f1"
+        },
+        "string2string": {},
+        "tok": {
+            "pre_split": true
+        }
+    },
+    "default_dec_dataset_embeds_dim": 12,
+    "encoder": {
+        "dropout": 0.2,
+        "max_input_length": 64,
+        "update_weights_encoder": true
+    },
+    "random_seed": 8446,
+    "training": {
+        "keep_top_n": 1,
+        "learning_rate_scheduler": {
+            "cut_frac": 0.3,
+            "decay_factor": 0.38,
+            "discriminative_fine_tuning": true,
+            "gradual_unfreezing": true
+        },
+        "num_epochs": 50,
+        "optimizer": {
+            "betas": [
+                0.9,
+                0.99
+            ],
+            "correct_bias": false,
+            "lr": 0.0015,
+            "weight_decay": 0.01
+        }
+    },
+    "transformer_model": "dbmdz/bert-base-italian-xxl-cased"
+}