Model save

README.md

@@ -15,17 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # model_25
 
 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: 0.7304
-- eval_accuracy: 0.7200
-- eval_precision: 0.7205
-- eval_recall: 0.7200
-- eval_f1: 0.7159
-- eval_runtime: 11.7907
-- eval_samples_per_second: 1038.529
-- eval_steps_per_second: 64.966
-- epoch: 4.0
-- step: 12248
 
 ## Model description
 
@@ -45,12 +34,12 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 64
+- eval_batch_size: 64
 - seed: 42
-- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
+- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
 - lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 1000
+- lr_scheduler_warmup_steps: 500
 - num_epochs: 20
 - mixed_precision_training: Native AMP
 - label_smoothing_factor: 0.03

adapter_model.safetensors

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training_args.bin

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