myrtotsok/distilbert-base-uncased-EO-intent-classifier

README.md

@@ -1,10 +1,11 @@
 ---
 license: apache-2.0
-base_model: distilbert-base-uncased
+library_name: peft
 tags:
 - generated_from_trainer
 metrics:
 - accuracy
+base_model: distilbert-base-uncased
 model-index:
 - name: distilbert-base-uncased-lora-text-classification
   results: []
@@ -49,21 +50,22 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy          |
 |:-------------:|:-----:|:----:|:---------------:|:-----------------:|
-| No log        | 1.0   | 240  | 0.0000          | {'accuracy': 1.0} |
-| No log        | 2.0   | 480  | 0.0000          | {'accuracy': 1.0} |
-| 0.075         | 3.0   | 720  | 0.0000          | {'accuracy': 1.0} |
-| 0.075         | 4.0   | 960  | 0.0000          | {'accuracy': 1.0} |
-| 0.0           | 5.0   | 1200 | 0.0000          | {'accuracy': 1.0} |
-| 0.0           | 6.0   | 1440 | 0.0000          | {'accuracy': 1.0} |
-| 0.0           | 7.0   | 1680 | 0.0000          | {'accuracy': 1.0} |
-| 0.0           | 8.0   | 1920 | 0.0000          | {'accuracy': 1.0} |
-| 0.0           | 9.0   | 2160 | 0.0000          | {'accuracy': 1.0} |
-| 0.0           | 10.0  | 2400 | 0.0000          | {'accuracy': 1.0} |
+| No log        | 1.0   | 180  | 0.0000          | {'accuracy': 1.0} |
+| No log        | 2.0   | 360  | 0.0000          | {'accuracy': 1.0} |
+| 0.0241        | 3.0   | 540  | 0.0000          | {'accuracy': 1.0} |
+| 0.0241        | 4.0   | 720  | 0.0000          | {'accuracy': 1.0} |
+| 0.0241        | 5.0   | 900  | 0.0000          | {'accuracy': 1.0} |
+| 0.0           | 6.0   | 1080 | 0.0000          | {'accuracy': 1.0} |
+| 0.0           | 7.0   | 1260 | 0.0000          | {'accuracy': 1.0} |
+| 0.0           | 8.0   | 1440 | 0.0000          | {'accuracy': 1.0} |
+| 0.0           | 9.0   | 1620 | 0.0000          | {'accuracy': 1.0} |
+| 0.0           | 10.0  | 1800 | 0.0000          | {'accuracy': 1.0} |
 
 
 ### Framework versions
 
-- Transformers 4.35.2
+- PEFT 0.8.2
+- Transformers 4.37.2
 - Pytorch 2.1.0+cu121
-- Datasets 2.16.1
-- Tokenizers 0.15.1
+- Datasets 2.17.1
+- Tokenizers 0.15.2

adapter_model.safetensors

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runs/Feb22_11-41-54_e168f1d03156/events.out.tfevents.1708602118.e168f1d03156.490.0

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runs/Feb22_11-56-44_e168f1d03156/events.out.tfevents.1708603007.e168f1d03156.4769.0

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training_args.bin

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