End of training

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: distilbert-base-uncased
+base_model: timmyAlvice/distil-bert-finetuned-sentiment-analysis
 tags:
 - generated_from_trainer
 metrics:
@@ -19,13 +19,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distil-bert-finetuned-sentiment-analysis
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+This model is a fine-tuned version of [timmyAlvice/distil-bert-finetuned-sentiment-analysis](https://huggingface.co/timmyAlvice/distil-bert-finetuned-sentiment-analysis) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4930
-- Precision: 0.8449
-- Recall: 0.8439
-- F1: 0.8439
-- Accuracy: 0.8439
+- Loss: 0.1539
+- Precision: 0.9573
+- Recall: 0.9572
+- F1: 0.9572
+- Accuracy: 0.9572
 
 ## Model description
 
@@ -44,7 +44,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 2e-06
 - train_batch_size: 128
 - eval_batch_size: 128
 - seed: 42
@@ -56,11 +56,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 254  | 0.4871          | 0.8302    | 0.8268 | 0.8274 | 0.8268   |
-| 0.3659        | 2.0   | 508  | 0.4683          | 0.8378    | 0.8352 | 0.8354 | 0.8352   |
-| 0.3659        | 3.0   | 762  | 0.4681          | 0.8439    | 0.8406 | 0.8413 | 0.8406   |
-| 0.2462        | 4.0   | 1016 | 0.4944          | 0.8445    | 0.8430 | 0.8430 | 0.8430   |
-| 0.2462        | 5.0   | 1270 | 0.4930          | 0.8449    | 0.8439 | 0.8439 | 0.8439   |
+| No log        | 1.0   | 254  | 0.1626          | 0.9552    | 0.9551 | 0.9551 | 0.9551   |
+| 0.182         | 2.0   | 508  | 0.1510          | 0.9581    | 0.9580 | 0.9580 | 0.9580   |
+| 0.182         | 3.0   | 762  | 0.1524          | 0.9580    | 0.9579 | 0.9578 | 0.9579   |
+| 0.1662        | 4.0   | 1016 | 0.1528          | 0.9582    | 0.9581 | 0.9581 | 0.9581   |
+| 0.1662        | 5.0   | 1270 | 0.1539          | 0.9573    | 0.9572 | 0.9572 | 0.9572   |
 
 
 ### Framework versions

runs/Oct01_12-30-24_ebdd7ef8fbf4/events.out.tfevents.1727785831.ebdd7ef8fbf4.234.0

@@ -1,3 +1,3 @@
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-size 7564
+oid sha256:7f6eada92377777c6e7a16455b3e27637b075799e948eaf67ae9368812fa4570
+size 8390