CuATR-distilbert

README.md

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5465
-- Accuracy: 0.8696
-- F1: 0.8696
+- Loss: 0.2758
+- Accuracy: 0.9565
+- F1: 0.9600
 
 ## Model description
 
@@ -45,14 +45,16 @@ 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: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 6    | 0.6081          | 0.9130   | 0.9231 |
-| No log        | 2.0   | 12   | 0.5465          | 0.8696   | 0.8696 |
+| No log        | 1.0   | 6    | 0.5600          | 0.9565   | 0.9630 |
+| No log        | 2.0   | 12   | 0.4153          | 0.8696   | 0.8696 |
+| No log        | 3.0   | 18   | 0.3222          | 0.8696   | 0.8696 |
+| No log        | 4.0   | 24   | 0.2758          | 0.9565   | 0.9600 |
 
 
 ### Framework versions

model.safetensors

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runs/Dec20_16-20-45_afd4a1f33f92/events.out.tfevents.1703089273.afd4a1f33f92.7588.0

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training_args.bin

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