End of training

README.md

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5475
-- Accuracy: 0.9022
-- F1: 0.9357
+- Loss: 0.7183
+- Accuracy: 0.9044
+- F1: 0.9367
 
 ## Model description
 
@@ -40,8 +40,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.1891        | 1.0   | 507  | 0.4560          | 0.9067   | 0.9390 |
-| 0.0835        | 2.0   | 1014 | 0.4778          | 0.9      | 0.9347 |
-| 0.0257        | 3.0   | 1521 | 0.5475          | 0.9022   | 0.9357 |
+| No log        | 1.0   | 127  | 0.6919          | 0.8911   | 0.9289 |
+| No log        | 2.0   | 254  | 0.7053          | 0.9      | 0.9335 |
+| No log        | 3.0   | 381  | 0.7183          | 0.9044   | 0.9367 |
 
 
 ### Framework versions

runs/Jun13_23-10-09_88b985c19838/events.out.tfevents.1718320711.88b985c19838.1237.6

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+size 457