Training in progress, step 102

config.json

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+{
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "optimistic",
+    "1": "humorous",
+    "2": "suspenseful",
+    "3": "inspirational",
+    "4": "poetic",
+    "5": "pessimistic",
+    "6": "informative"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "humorous": 1,
+    "informative": 6,
+    "inspirational": 3,
+    "optimistic": 0,
+    "pessimistic": 5,
+    "poetic": 4,
+    "suspenseful": 2
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.50.3",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

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runs/Apr11_01-57-57_d8c80e2233d3/events.out.tfevents.1744336681.d8c80e2233d3.285.0

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training_args.bin

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