AurrieMartinez/distilbert-base-uncased-lora-text-classification-by-finetuning-distilbert-1

README.md

@@ -18,12 +18,12 @@ 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: 1.0394
-- Accuracy: {'accuracy': 0.888}
+- Loss: 0.9700
+- Accuracy: {'accuracy': 0.891}
 
 ## Model description
-Saved the entire training state, including the trained model, tokenizer, optimizer, scheduler, and training arguments.
-Useful for resuming training from a previous checkpoint or sharing the complete training setup with others.
+
+More information needed
 
 ## Intended uses & limitations
 
@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy            |
 |:-------------:|:-----:|:----:|:---------------:|:-------------------:|
-| No log        | 1.0   | 250  | 0.3651          | {'accuracy': 0.888} |
-| 0.4288        | 2.0   | 500  | 0.5750          | {'accuracy': 0.857} |
-| 0.4288        | 3.0   | 750  | 0.5818          | {'accuracy': 0.886} |
-| 0.1689        | 4.0   | 1000 | 0.6897          | {'accuracy': 0.883} |
-| 0.1689        | 5.0   | 1250 | 0.8311          | {'accuracy': 0.887} |
-| 0.0484        | 6.0   | 1500 | 0.9207          | {'accuracy': 0.886} |
-| 0.0484        | 7.0   | 1750 | 0.9699          | {'accuracy': 0.892} |
-| 0.0171        | 8.0   | 2000 | 0.9769          | {'accuracy': 0.89}  |
-| 0.0171        | 9.0   | 2250 | 1.0287          | {'accuracy': 0.884} |
-| 0.0062        | 10.0  | 2500 | 1.0394          | {'accuracy': 0.888} |
+| No log        | 1.0   | 250  | 0.3992          | {'accuracy': 0.87}  |
+| 0.4165        | 2.0   | 500  | 0.4943          | {'accuracy': 0.876} |
+| 0.4165        | 3.0   | 750  | 0.5479          | {'accuracy': 0.883} |
+| 0.2104        | 4.0   | 1000 | 0.6055          | {'accuracy': 0.896} |
+| 0.2104        | 5.0   | 1250 | 0.7414          | {'accuracy': 0.887} |
+| 0.0807        | 6.0   | 1500 | 0.8384          | {'accuracy': 0.892} |
+| 0.0807        | 7.0   | 1750 | 0.9608          | {'accuracy': 0.888} |
+| 0.0188        | 8.0   | 2000 | 0.9945          | {'accuracy': 0.888} |
+| 0.0188        | 9.0   | 2250 | 0.9541          | {'accuracy': 0.887} |
+| 0.0142        | 10.0  | 2500 | 0.9700          | {'accuracy': 0.891} |
 
 
 ### Framework versions

adapter_model.safetensors

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 size 2518104

runs/Jun05_10-48-38_e65aac0c5aad/events.out.tfevents.1717584519.e65aac0c5aad.264.0

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training_args.bin

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 size 5176