End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: distilbert-base-uncased-finetuned-sst-2-english
+base_model: distilbert/distilbert-base-uncased-finetuned-sst-2-english
 tags:
 - generated_from_trainer
 model-index:
@@ -13,14 +13,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 # fine-tuned-distilbert-base-uncased
 
-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 an unknown dataset.
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - eval_loss: 2.0891
 - eval_accuracy: {'accuracy': 0.6}
 - eval_f1score: {'f1': 0.6908981314044605}
-- eval_runtime: 30.2212
-- eval_samples_per_second: 3.309
-- eval_steps_per_second: 0.43
+- eval_runtime: 29.8465
+- eval_samples_per_second: 3.35
+- eval_steps_per_second: 0.436
 - step: 0
 
 ## Model description

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "distilbert-base-uncased-finetuned-sst-2-english",
+  "_name_or_path": "distilbert/distilbert-base-uncased-finetuned-sst-2-english",
   "activation": "gelu",
   "architectures": [
     "DistilBertForSequenceClassification"

runs/Mar21_15-54-22_Micah/events.out.tfevents.1711007662.Micah.7820.4

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