djsull/binary_every_exp

README.md

@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 0.1122
-- Precision: 0.96
+- Loss: 0.0009
+- Precision: 1.0
 - Recall: 1.0
-- F1: 0.9796
-- Accuracy: 0.98
+- F1: 1.0
+- Accuracy: 1.0
 
 ## Model description
 
@@ -48,14 +48,20 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 8
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 10   | 0.1122          | 0.96      | 1.0    | 0.9796 | 0.98     |
-| No log        | 2.0   | 20   | 0.1316          | 0.9565    | 0.9167 | 0.9362 | 0.94     |
+| No log        | 1.0   | 10   | 0.1336          | 0.8947    | 1.0    | 0.9444 | 0.96     |
+| No log        | 2.0   | 20   | 0.0048          | 1.0       | 1.0    | 1.0    | 1.0      |
+| No log        | 3.0   | 30   | 0.0608          | 1.0       | 0.9412 | 0.9697 | 0.98     |
+| No log        | 4.0   | 40   | 0.0015          | 1.0       | 1.0    | 1.0    | 1.0      |
+| No log        | 5.0   | 50   | 0.0013          | 1.0       | 1.0    | 1.0    | 1.0      |
+| No log        | 6.0   | 60   | 0.0011          | 1.0       | 1.0    | 1.0    | 1.0      |
+| No log        | 7.0   | 70   | 0.0009          | 1.0       | 1.0    | 1.0    | 1.0      |
+| No log        | 8.0   | 80   | 0.0009          | 1.0       | 1.0    | 1.0    | 1.0      |
 
 
 ### Framework versions

model.safetensors

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runs/Aug22_07-26-20_129-146-79-76/events.out.tfevents.1724311581.129-146-79-76.1374120.0

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training_args.bin

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