piyumisudasinghe/distilbert-base-uncased-lora-text-classification

README.md

@@ -4,8 +4,6 @@ license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: distilbert-base-uncased-lora-text-classification
   results: []
@@ -17,9 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # distilbert-base-uncased-lora-text-classification
 
 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: 1.0462
-- Accuracy: {'accuracy': 0.883}
 
 ## Model description
 
@@ -44,28 +39,16 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 3
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy            |
-|:-------------:|:-----:|:----:|:---------------:|:-------------------:|
-| No log        | 1.0   | 250  | 0.3410          | {'accuracy': 0.885} |
-| 0.4055        | 2.0   | 500  | 0.4249          | {'accuracy': 0.867} |
-| 0.4055        | 3.0   | 750  | 0.6330          | {'accuracy': 0.883} |
-| 0.1909        | 4.0   | 1000 | 0.6209          | {'accuracy': 0.889} |
-| 0.1909        | 5.0   | 1250 | 0.8740          | {'accuracy': 0.876} |
-| 0.0672        | 6.0   | 1500 | 1.0180          | {'accuracy': 0.874} |
-| 0.0672        | 7.0   | 1750 | 1.1048          | {'accuracy': 0.869} |
-| 0.0233        | 8.0   | 2000 | 1.0328          | {'accuracy': 0.881} |
-| 0.0233        | 9.0   | 2250 | 1.0644          | {'accuracy': 0.882} |
-| 0.0168        | 10.0  | 2500 | 1.0462          | {'accuracy': 0.883} |
 
 
 ### Framework versions
 
-- PEFT 0.14.0
-- Transformers 4.50.3
+- PEFT 0.15.2
+- Transformers 4.51.3
 - Pytorch 2.6.0+cu124
 - Datasets 3.5.0
 - Tokenizers 0.21.1

training_args.bin

@@ -1,3 +1,3 @@
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-size 5368
+oid sha256:62c8f821be36b9a03f2abf6f051f8115c61445c4f0f19c2fce5dc9568b73b448
+size 5304