End of training

config.json

@@ -1,87 +1,49 @@
 {
-  "_name_or_path": "facebook/bart-base",
-  "activation_dropout": 0.1,
+  "_name_or_path": "facebook/bart-large-mnli",
+  "_num_labels": 3,
+  "activation_dropout": 0.0,
   "activation_function": "gelu",
-  "add_bias_logits": false,
   "add_final_layer_norm": false,
   "architectures": [
     "BartForSequenceClassification"
   ],
-  "attention_dropout": 0.1,
+  "attention_dropout": 0.0,
   "bos_token_id": 0,
-  "classif_dropout": 0.1,
+  "classif_dropout": 0.0,
   "classifier_dropout": 0.0,
-  "d_model": 768,
-  "decoder_attention_heads": 12,
-  "decoder_ffn_dim": 3072,
+  "d_model": 1024,
+  "decoder_attention_heads": 16,
+  "decoder_ffn_dim": 4096,
   "decoder_layerdrop": 0.0,
-  "decoder_layers": 6,
+  "decoder_layers": 12,
   "decoder_start_token_id": 2,
   "dropout": 0.1,
-  "early_stopping": true,
-  "encoder_attention_heads": 12,
-  "encoder_ffn_dim": 3072,
+  "encoder_attention_heads": 16,
+  "encoder_ffn_dim": 4096,
   "encoder_layerdrop": 0.0,
-  "encoder_layers": 6,
+  "encoder_layers": 12,
   "eos_token_id": 2,
-  "forced_bos_token_id": 0,
   "forced_eos_token_id": 2,
   "gradient_checkpointing": false,
   "id2label": {
-    "0": "fines and fees",
-    "1": "ARCs or renovations",
-    "2": "complaints or violations",
-    "3": "maintenance or service requests",
-    "4": "pets",
-    "5": "sale of property",
-    "6": "property rentals or leasing",
-    "7": "garbage or trash removal",
-    "8": "vehicle parking",
-    "9": "bicycle"
+    "0": "contradiction",
+    "1": "neutral",
+    "2": "entailment"
   },
   "init_std": 0.02,
   "is_encoder_decoder": true,
   "label2id": {
-    "9": "bicycle",
-    "ARCs or renovations": "1",
-    "complaints or violations": "2",
-    "fines and fees": "0",
-    "garbage or trash removal": "7",
-    "maintenance or service requests": "3",
-    "pets": "4",
-    "property rentals or leasing": "6",
-    "sale of property": "5",
-    "vehicle parking": "8"
+    "contradiction": 0,
+    "entailment": 2,
+    "neutral": 1
   },
   "max_position_embeddings": 1024,
   "model_type": "bart",
-  "no_repeat_ngram_size": 3,
   "normalize_before": false,
-  "normalize_embedding": true,
-  "num_beams": 4,
-  "num_hidden_layers": 6,
+  "num_hidden_layers": 12,
+  "output_past": false,
   "pad_token_id": 1,
   "scale_embedding": false,
-  "task_specific_params": {
-    "summarization": {
-      "length_penalty": 1.0,
-      "max_length": 128,
-      "min_length": 12,
-      "num_beams": 4
-    },
-    "summarization_cnn": {
-      "length_penalty": 2.0,
-      "max_length": 142,
-      "min_length": 56,
-      "num_beams": 4
-    },
-    "summarization_xsum": {
-      "length_penalty": 1.0,
-      "max_length": 62,
-      "min_length": 11,
-      "num_beams": 6
-    }
-  },
   "torch_dtype": "float32",
   "transformers_version": "4.25.1",
   "use_cache": true,

pytorch_model.bin

@@ -1,3 +1,3 @@
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+size 1629544729

tokenizer_config.json

@@ -6,7 +6,7 @@
   "errors": "replace",
   "mask_token": "<mask>",
   "model_max_length": 1024,
-  "name_or_path": "facebook/bart-base",
+  "name_or_path": "facebook/bart-large-mnli",
   "pad_token": "<pad>",
   "sep_token": "</s>",
   "special_tokens_map_file": null,

training_args.bin

@@ -1,3 +1,3 @@
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 size 3451