Trained over 100 epochs with dataset v4.

config.json

@@ -1,13 +1,14 @@
 {
-  "_name_or_path": "google-bert/bert-base-uncased",
+  "_name_or_path": "nasa-impact/nasa-smd-ibm-st-v2",
   "architectures": [
-    "BertForSequenceClassification"
+    "RobertaForSequenceClassification"
   ],
-  "attention_probs_dropout_prob": 0.1,
+  "attention_probs_dropout_prob": 0.2,
+  "bos_token_id": 0,
   "classifier_dropout": null,
-  "gradient_checkpointing": false,
+  "eos_token_id": 2,
   "hidden_act": "gelu",
-  "hidden_dropout_prob": 0.1,
+  "hidden_dropout_prob": 0.2,
   "hidden_size": 768,
   "id2label": {
     "0": "LABEL_0",
@@ -57,17 +58,17 @@
     "LABEL_8": 8,
     "LABEL_9": 9
   },
-  "layer_norm_eps": 1e-12,
-  "max_position_embeddings": 512,
-  "model_type": "bert",
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
   "num_attention_heads": 12,
   "num_hidden_layers": 12,
-  "pad_token_id": 0,
+  "pad_token_id": 1,
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
   "torch_dtype": "float32",
   "transformers_version": "4.34.0",
-  "type_vocab_size": 2,
+  "type_vocab_size": 1,
   "use_cache": true,
-  "vocab_size": 30522
+  "vocab_size": 50265
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5ead99ea15026c5cb03a03dac8c6029e372fdae6e618156744e2371021af9a9e
-size 438061937
+oid sha256:d1aa807df34c9d6690628776a81a77b3df1dd520050a4a12817a8b4c3079ff09
+size 498716081