djsull/binary_every_exp

README.md

@@ -1,5 +1,5 @@
 ---
-base_model: klue/roberta-base
+base_model: klue/roberta-small
 tags:
 - generated_from_trainer
 metrics:
@@ -17,13 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # binary_every_exp
 
-This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on an unknown dataset.
+This model is a fine-tuned version of [klue/roberta-small](https://huggingface.co/klue/roberta-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0015
-- Precision: 1.0
+- Loss: 0.1049
+- Precision: 0.9615
 - Recall: 1.0
-- F1: 1.0
-- Accuracy: 1.0
+- F1: 0.9804
+- Accuracy: 0.9833
 
 ## Model description
 
@@ -54,14 +54,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 19   | 0.1385          | 1.0       | 0.8947 | 0.9444 | 0.96     |
-| No log        | 2.0   | 38   | 0.0739          | 0.95      | 1.0    | 0.9744 | 0.98     |
-| No log        | 3.0   | 57   | 0.0321          | 0.95      | 1.0    | 0.9744 | 0.98     |
-| No log        | 4.0   | 76   | 0.0655          | 0.95      | 1.0    | 0.9744 | 0.98     |
-| No log        | 5.0   | 95   | 0.1008          | 0.95      | 1.0    | 0.9744 | 0.98     |
-| No log        | 6.0   | 114  | 0.0113          | 1.0       | 1.0    | 1.0    | 1.0      |
-| No log        | 7.0   | 133  | 0.0015          | 1.0       | 1.0    | 1.0    | 1.0      |
-| No log        | 8.0   | 152  | 0.0017          | 1.0       | 1.0    | 1.0    | 1.0      |
+| No log        | 1.0   | 18   | 0.1487          | 0.9583    | 0.92   | 0.9388 | 0.95     |
+| No log        | 2.0   | 36   | 0.1680          | 0.9583    | 0.92   | 0.9388 | 0.95     |
+| No log        | 3.0   | 54   | 0.1049          | 0.9615    | 1.0    | 0.9804 | 0.9833   |
+| No log        | 4.0   | 72   | 0.1135          | 0.9615    | 1.0    | 0.9804 | 0.9833   |
+| No log        | 5.0   | 90   | 0.1190          | 0.9615    | 1.0    | 0.9804 | 0.9833   |
+| No log        | 6.0   | 108  | 0.1220          | 0.9615    | 1.0    | 0.9804 | 0.9833   |
+| No log        | 7.0   | 126  | 0.1235          | 0.9615    | 1.0    | 0.9804 | 0.9833   |
+| No log        | 8.0   | 144  | 0.1240          | 0.9615    | 1.0    | 0.9804 | 0.9833   |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "klue/roberta-base",
+  "_name_or_path": "klue/roberta-small",
   "architectures": [
     "RobertaForSequenceClassification"
   ],
@@ -25,7 +25,7 @@
   "max_position_embeddings": 514,
   "model_type": "roberta",
   "num_attention_heads": 12,
-  "num_hidden_layers": 12,
+  "num_hidden_layers": 6,
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",

model.safetensors

@@ -1,3 +1,3 @@
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runs/Aug26_01-02-31_129-146-79-76/events.out.tfevents.1724634152.129-146-79-76.3147180.0

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runs/Aug26_01-02-31_129-146-79-76/events.out.tfevents.1724634199.129-146-79-76.3147180.1

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training_args.bin

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