Add results of all runs

fhnw-ivy · Jun 5, 2024 · 7529525 · 7529525
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diff --git a/...8_mode=ModelMode.finetune,nested_splits=True,weak_labels=True/eval_accuracy.png b/...8_mode=ModelMode.finetune,nested_splits=True,weak_labels=True/eval_accuracy.png
diff --git a/...8_mode=ModelMode.finetune,nested_splits=True,weak_labels=True/eval_f1_macro.png b/...8_mode=ModelMode.finetune,nested_splits=True,weak_labels=True/eval_f1_macro.png
diff --git a/...ode=ModelMode.finetune,nested_splits=True,weak_labels=True/eval_f1_weighted.png b/...ode=ModelMode.finetune,nested_splits=True,weak_labels=True/eval_f1_weighted.png
diff --git a/...01-38_mode=ModelMode.finetune,nested_splits=True,weak_labels=True/eval_loss.png b/...01-38_mode=ModelMode.finetune,nested_splits=True,weak_labels=True/eval_loss.png
diff --git a/...04_15-01-38_mode=ModelMode.finetune,nested_splits=True,weak_labels=True/eval_results.json b/...04_15-01-38_mode=ModelMode.finetune,nested_splits=True,weak_labels=True/eval_results.json
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+{"0.25": {"eval_loss": 0.4045407474040985, "eval_accuracy": 0.8948948948948949, "eval_f1_macro": 0.8948863636363636, "eval_f1_weighted": 0.8948863636363638, "eval_runtime": 2.3577, "eval_samples_per_second": 282.482, "eval_steps_per_second": 2.969, "epoch": 25.0}, "0.5": {"eval_loss": 0.44522979855537415, "eval_accuracy": 0.8933933933933934, "eval_f1_macro": 0.8933931530475364, "eval_f1_weighted": 0.8933931530475363, "eval_runtime": 2.4038, "eval_samples_per_second": 277.059, "eval_steps_per_second": 2.912, "epoch": 25.0}, "0.75": {"eval_loss": 0.5143420696258545, "eval_accuracy": 0.8828828828828829, "eval_f1_macro": 0.8828733766233766, "eval_f1_weighted": 0.8828733766233766, "eval_runtime": 2.3909, "eval_samples_per_second": 278.561, "eval_steps_per_second": 2.928, "epoch": 25.0}, "1.0": {"eval_loss": 0.5319307446479797, "eval_accuracy": 0.8828828828828829, "eval_f1_macro": 0.8828818267080297, "eval_f1_weighted": 0.8828818267080298, "eval_runtime": 2.4267, "eval_samples_per_second": 274.451, "eval_steps_per_second": 2.885, "epoch": 25.0}}
diff --git a/...38_mode=ModelMode.finetune,nested_splits=True,weak_labels=True/eval_runtime.png b/...38_mode=ModelMode.finetune,nested_splits=True,weak_labels=True/eval_runtime.png
diff --git a/...elMode.finetune,nested_splits=True,weak_labels=True/eval_samples_per_second.png b/...elMode.finetune,nested_splits=True,weak_labels=True/eval_samples_per_second.png
diff --git a/...odelMode.finetune,nested_splits=True,weak_labels=True/eval_steps_per_second.png b/...odelMode.finetune,nested_splits=True,weak_labels=True/eval_steps_per_second.png
diff --git a/...odelMode.finetune,nested_splits=True,weak_labels=True/nested_split=0.25/model/config.json b/...odelMode.finetune,nested_splits=True,weak_labels=True/nested_split=0.25/model/config.json
@@ -0,0 +1,27 @@
+{
+  "_name_or_path": "sentence-transformers/all-MiniLM-L6-v2",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 384,
+  "initializer_range": 0.02,
+  "intermediate_size": 1536,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 6,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}
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		{"0.25": {"eval_loss": 0.4045407474040985, "eval_accuracy": 0.8948948948948949, "eval_f1_macro": 0.8948863636363636, "eval_f1_weighted": 0.8948863636363638, "eval_runtime": 2.3577, "eval_samples_per_second": 282.482, "eval_steps_per_second": 2.969, "epoch": 25.0}, "0.5": {"eval_loss": 0.44522979855537415, "eval_accuracy": 0.8933933933933934, "eval_f1_macro": 0.8933931530475364, "eval_f1_weighted": 0.8933931530475363, "eval_runtime": 2.4038, "eval_samples_per_second": 277.059, "eval_steps_per_second": 2.912, "epoch": 25.0}, "0.75": {"eval_loss": 0.5143420696258545, "eval_accuracy": 0.8828828828828829, "eval_f1_macro": 0.8828733766233766, "eval_f1_weighted": 0.8828733766233766, "eval_runtime": 2.3909, "eval_samples_per_second": 278.561, "eval_steps_per_second": 2.928, "epoch": 25.0}, "1.0": {"eval_loss": 0.5319307446479797, "eval_accuracy": 0.8828828828828829, "eval_f1_macro": 0.8828818267080297, "eval_f1_weighted": 0.8828818267080298, "eval_runtime": 2.4267, "eval_samples_per_second": 274.451, "eval_steps_per_second": 2.885, "epoch": 25.0}}