End of training

README.md

@@ -1,11 +1,8 @@
 ---
 license: apache-2.0
-base_model: distilbert-base-uncased
+base_model: distilbert-base-uncased-finetuned-sst-2-english
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
-- f1
 model-index:
 - name: finetuning-sentiment-model-3000-samples
   results: []
@@ -16,11 +13,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 # finetuning-sentiment-model-3000-samples
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+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: 0.3385
-- Accuracy: 0.8567
-- F1: 0.8590
+- eval_loss: 0.3019
+- eval_accuracy: 0.8967
+- eval_f1: 0.9341
+- eval_runtime: 16.5021
+- eval_samples_per_second: 54.538
+- eval_steps_per_second: 3.454
+- step: 0
 
 ## Model description
 
@@ -47,10 +48,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 2
 
-### Training results
-
-
-
 ### Framework versions
 
 - Transformers 4.41.2

runs/Jun15_21-56-20_cd79533f7a13/events.out.tfevents.1718488904.cd79533f7a13.2648.1

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runs/Jun15_21-56-20_cd79533f7a13/events.out.tfevents.1718489382.cd79533f7a13.2648.2

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