End of training

README.md

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5411
-- Accuracy: 0.744
-- F1: 0.8150
+- Loss: 0.6351
+- Accuracy: 0.739
+- F1: 0.8057
 
 ## Model description
 
@@ -40,8 +40,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-06
-- train_batch_size: 12
-- eval_batch_size: 12
+- train_batch_size: 4
+- eval_batch_size: 4
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.6294        | 1.0   | 501  | 0.5809          | 0.706    | 0.8027 |
-| 0.5936        | 2.0   | 1002 | 0.5622          | 0.722    | 0.8106 |
-| 0.5532        | 3.0   | 1503 | 0.5411          | 0.744    | 0.8150 |
+| 0.6139        | 1.0   | 1502 | 0.5346          | 0.745    | 0.8205 |
+| 0.5662        | 2.0   | 3004 | 0.5372          | 0.74     | 0.8153 |
+| 0.5055        | 3.0   | 4506 | 0.6351          | 0.739    | 0.8057 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:16db4e7510c4aa0743bc9ae11ffbe488191f4a9a31cab97edc5aa3275874b687
+oid sha256:8b55d01446e059ece6acd00fca23feb880e78ddc3b48592179660c02e794d918
 size 1340710193

runs/Jul26_12-01-13_168ff041fc0c/events.out.tfevents.1690373248.168ff041fc0c.684.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d510395add86f57a4bc71cdd3038e14fd7b0e69951961c82d3bda8154d7a4f5a
-size 6313
+oid sha256:81eabd81b024126dd628e36097d3c73f2170eac1b8f94796e3773ab5df611200
+size 7036