End of training

README.md

@@ -15,16 +15,16 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.4144
-- eval_accuracy: 0.8229
-- eval_recall: 0.8885
-- eval_precision: 0.7855
-- eval_f1: 0.8338
-- eval_runtime: 28.3161
-- eval_samples_per_second: 36.093
-- eval_steps_per_second: 1.13
-- epoch: 5.0
-- step: 480
+- eval_loss: 0.1027
+- eval_accuracy: 0.5460
+- eval_recall: 0.1292
+- eval_precision: 0.7765
+- eval_f1: 0.2215
+- eval_runtime: 27.1356
+- eval_samples_per_second: 37.663
+- eval_steps_per_second: 0.59
+- epoch: 1.0
+- step: 48
 
 ## Model description
 
@@ -43,13 +43,13 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.00012559849066773733
-- train_batch_size: 32
-- eval_batch_size: 32
+- learning_rate: 0.0004001935402388079
+- train_batch_size: 64
+- eval_batch_size: 64
 - seed: 33
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 9
+- num_epochs: 4
 
 ### Framework versions
 

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 17549312