Model save

README.md

@@ -15,17 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # model_18
 
 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:
-- eval_loss: 0.5895
-- eval_accuracy: 0.7703
-- eval_precision: 0.7705
-- eval_recall: 0.7703
-- eval_f1: 0.7700
-- eval_runtime: 31.0093
-- eval_samples_per_second: 394.882
-- eval_steps_per_second: 12.351
-- epoch: 1.0
-- step: 1531
 
 ## Model description
 
@@ -44,7 +33,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-05
+- learning_rate: 7e-06
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42

adapter_model.safetensors

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training_args.bin

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