Training complete

README.md

@@ -15,16 +15,16 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.3191
-- eval_precision: 0.2402
-- eval_recall: 0.4286
-- eval_f1: 0.3079
-- eval_accuracy: 0.9326
-- eval_runtime: 3.5543
-- eval_samples_per_second: 42.484
-- eval_steps_per_second: 5.346
-- epoch: 21.0
-- step: 2373
+- eval_loss: 0.4071
+- eval_precision: 0.28
+- eval_recall: 0.2972
+- eval_f1: 0.2883
+- eval_accuracy: 0.9461
+- eval_runtime: 4.9447
+- eval_samples_per_second: 43.886
+- eval_steps_per_second: 5.663
+- epoch: 37.0
+- step: 3885
 
 ## Model description
 
@@ -43,13 +43,13 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 1e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 30
+- num_epochs: 50
 
 ### Framework versions
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:fc0cd203d46e153d5a295d83dd14b831cd273d156b0c360e9ad84759154309cd
 size 496335078