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

README.md

@@ -4,6 +4,8 @@ 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: []
@@ -15,6 +17,9 @@ 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 the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0322
+- Accuracy: {'accuracy': 0.876}
 
 ## Model description
 
@@ -41,6 +46,22 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 10
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy            |
+|:-------------:|:-----:|:----:|:---------------:|:-------------------:|
+| No log        | 1.0   | 250  | 0.4027          | {'accuracy': 0.875} |
+| 0.4005        | 2.0   | 500  | 0.5017          | {'accuracy': 0.851} |
+| 0.4005        | 3.0   | 750  | 0.5624          | {'accuracy': 0.875} |
+| 0.1682        | 4.0   | 1000 | 0.7063          | {'accuracy': 0.869} |
+| 0.1682        | 5.0   | 1250 | 0.8427          | {'accuracy': 0.869} |
+| 0.0334        | 6.0   | 1500 | 0.9793          | {'accuracy': 0.875} |
+| 0.0334        | 7.0   | 1750 | 1.0155          | {'accuracy': 0.875} |
+| 0.0103        | 8.0   | 2000 | 1.0994          | {'accuracy': 0.867} |
+| 0.0103        | 9.0   | 2250 | 1.0249          | {'accuracy': 0.875} |
+| 0.012         | 10.0  | 2500 | 1.0322          | {'accuracy': 0.876} |
+
+
 ### Framework versions
 
 - PEFT 0.14.0

runs/Feb21_15-29-02_cde6f636587a/events.out.tfevents.1740151744.cde6f636587a.2156.7

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tokenizer_config.json

@@ -1,4 +1,5 @@
 {
+  "add_prefix_space": true,
   "added_tokens_decoder": {
     "0": {
       "content": "[PAD]",

training_args.bin

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