SavirD/sentiment-bert-text-classification

README.md

@@ -4,6 +4,8 @@ library_name: peft
 tags:
 - generated_from_trainer
 base_model: distilbert-base-uncased
+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 an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1550
+- Accuracy: {'accuracy': 0.883}
 
 ## Model description
 
@@ -39,13 +44,22 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy            |
 |:-------------:|:-----:|:----:|:---------------:|:-------------------:|
-| No log        | 1.0   | 250  | 0.2892          | {'accuracy': 0.892} |
+| No log        | 1.0   | 250  | 0.6110          | {'accuracy': 0.832} |
+| 0.4023        | 2.0   | 500  | 0.5590          | {'accuracy': 0.871} |
+| 0.4023        | 3.0   | 750  | 0.5852          | {'accuracy': 0.876} |
+| 0.1908        | 4.0   | 1000 | 0.8232          | {'accuracy': 0.891} |
+| 0.1908        | 5.0   | 1250 | 0.9061          | {'accuracy': 0.885} |
+| 0.067         | 6.0   | 1500 | 1.0293          | {'accuracy': 0.886} |
+| 0.067         | 7.0   | 1750 | 1.1672          | {'accuracy': 0.879} |
+| 0.0251        | 8.0   | 2000 | 1.1400          | {'accuracy': 0.881} |
+| 0.0251        | 9.0   | 2250 | 1.1411          | {'accuracy': 0.882} |
+| 0.0217        | 10.0  | 2500 | 1.1550          | {'accuracy': 0.883} |
 
 
 ### Framework versions

adapter_model.safetensors

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 size 2518104

runs/Jun20_09-29-39_Savirs-Laptop.attlocal.net/events.out.tfevents.1718900979.Savirs-Laptop.attlocal.net.21217.2

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+size 9089

training_args.bin

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 size 5176