Training complete

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1150
-- Precision: 0.6869
-- Recall: 0.7076
-- F1: 0.6971
-- Accuracy: 0.9677
+- Loss: 0.1228
+- Precision: 0.6701
+- Recall: 0.6809
+- F1: 0.6754
+- Accuracy: 0.9657
 
 ## Model description
 
@@ -44,12 +44,12 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.1
-- train_batch_size: 128
-- eval_batch_size: 128
+- learning_rate: 0.01
+- train_batch_size: 512
+- eval_batch_size: 512
 - seed: 42
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 512
+- total_train_batch_size: 2048
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine_with_restarts
 - lr_scheduler_warmup_ratio: 0.05
@@ -60,16 +60,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log | 0.9655 | 14 | 0.3729 | 0.4205 | 0.6119 | 0.4985 | 0.9430 |
-| No log | 2.0 | 29 | 0.2544 | 0.5272 | 0.6683 | 0.5894 | 0.9574 |
-| No log | 2.9655 | 43 | 0.2117 | 0.5702 | 0.6884 | 0.6238 | 0.9604 |
-| No log | 4.0 | 58 | 0.1747 | 0.5934 | 0.7001 | 0.6424 | 0.9628 |
-| No log | 4.9655 | 72 | 0.1420 | 0.6280 | 0.6827 | 0.6542 | 0.9642 |
-| No log | 6.0 | 87 | 0.1287 | 0.6639 | 0.7033 | 0.6830 | 0.9667 |
-| No log | 6.9655 | 101 | 0.1309 | 0.6471 | 0.7009 | 0.6729 | 0.9654 |
-| No log | 8.0 | 116 | 0.1260 | 0.6349 | 0.7199 | 0.6748 | 0.9652 |
-| No log | 8.9655 | 130 | 0.1159 | 0.6621 | 0.7118 | 0.6860 | 0.9670 |
-| No log | 9.6552 | 140 | 0.1150 | 0.6869 | 0.7076 | 0.6971 | 0.9677 |
+| No log | 0.9697 | 16 | 0.2938 | 0.4425 | 0.5130 | 0.4751 | 0.9361 |
+| No log | 2.0 | 33 | 0.1815 | 0.5546 | 0.5873 | 0.5705 | 0.9535 |
+| No log | 2.9697 | 49 | 0.1617 | 0.5838 | 0.6189 | 0.6008 | 0.9575 |
+| No log | 4.0 | 66 | 0.1482 | 0.6070 | 0.6396 | 0.6229 | 0.9602 |
+| No log | 4.9697 | 82 | 0.1340 | 0.6465 | 0.6563 | 0.6513 | 0.9633 |
+| No log | 6.0 | 99 | 0.1306 | 0.6561 | 0.6638 | 0.6599 | 0.9641 |
+| No log | 6.9697 | 115 | 0.1290 | 0.6569 | 0.6705 | 0.6636 | 0.9645 |
+| No log | 8.0 | 132 | 0.1246 | 0.6664 | 0.6794 | 0.6728 | 0.9654 |
+| No log | 8.9697 | 148 | 0.1230 | 0.6699 | 0.6793 | 0.6745 | 0.9656 |
+| No log | 9.6970 | 160 | 0.1228 | 0.6701 | 0.6809 | 0.6754 | 0.9657 |
 
 
 ### Framework versions