WillLoki/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 the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.9932
-- Accuracy: {'accuracy': 0.886}
 
 ## Model description
 
@@ -46,22 +41,6 @@ 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  | 0.3395          | {'accuracy': 0.879} |
-| 0.4101        | 2.0   | 500  | 0.5622          | {'accuracy': 0.846} |
-| 0.4101        | 3.0   | 750  | 0.5114          | {'accuracy': 0.884} |
-| 0.1201        | 4.0   | 1000 | 0.8132          | {'accuracy': 0.878} |
-| 0.1201        | 5.0   | 1250 | 0.8462          | {'accuracy': 0.879} |
-| 0.0311        | 6.0   | 1500 | 0.7670          | {'accuracy': 0.883} |
-| 0.0311        | 7.0   | 1750 | 0.8723          | {'accuracy': 0.893} |
-| 0.0145        | 8.0   | 2000 | 0.9846          | {'accuracy': 0.881} |
-| 0.0145        | 9.0   | 2250 | 0.9984          | {'accuracy': 0.883} |
-| 0.0012        | 10.0  | 2500 | 0.9932          | {'accuracy': 0.886} |
-
-
 ### 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

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

training_args.bin

@@ -1,3 +1,3 @@
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