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README.md

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+
+---
+tags:
+- autotrain
+- text-classification
+widget:
+- text: "I love AutoTrain"
+datasets:
+- autotrain-y4yyk-zwyl5/autotrain-data
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Text Classification
+
+## Validation Metrics
+loss: 0.41398245096206665
+
+f1_macro: 0.7960248281288549
+
+f1_micro: 0.8848137535816619
+
+f1_weighted: 0.8831232981645943
+
+precision_macro: 0.8400378915863742
+
+precision_micro: 0.8848137535816619
+
+precision_weighted: 0.8831401394863536
+
+recall_macro: 0.7672428418298921
+
+recall_micro: 0.8848137535816619
+
+recall_weighted: 0.8848137535816619
+
+accuracy: 0.8848137535816619

checkpoint-60204/config.json

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+  "_num_labels": 3,
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+  "layer_norm_eps": 1e-05,
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+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.3",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

checkpoint-60204/model.safetensors

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config.json

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+  "architectures": [
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special_tokens_map.json

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tokenizer_config.json

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training_params.json

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+    "lr": 5e-05,
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+    "repo_id": "Adilmar/autotrain-y4yyk-zwyl5",
+    "evaluation_strategy": "epoch",
+    "username": "Adilmar",
+    "log": "tensorboard"
+}