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 [xlnet-large-cased](https://huggingface.co/xlnet-large-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5446
-- Accuracy: 0.755
-- F1: 0.8249
+- Loss: 0.5693
+- Accuracy: 0.733
+- F1: 0.8089
 
 ## Model description
 
@@ -40,19 +40,20 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-06
-- train_batch_size: 4
-- eval_batch_size: 4
+- 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: 2
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.6432        | 1.0   | 1502 | 0.5310          | 0.756    | 0.8260 |
-| 0.6175        | 2.0   | 3004 | 0.5446          | 0.755    | 0.8249 |
+| 0.6433        | 1.0   | 751  | 0.5590          | 0.718    | 0.8082 |
+| 0.603         | 2.0   | 1502 | 0.5566          | 0.746    | 0.8204 |
+| 0.5791        | 3.0   | 2253 | 0.5693          | 0.733    | 0.8089 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:de691d867e71c8946cf6c7f976cef69054038cb6d1bb18d08df9f92072667999
+oid sha256:501e5fbe36767930f5ea7b034e18514257e85a5a5fbc199f986d961c935a5bd4
 size 1445420229

runs/Jul20_05-38-22_04068359633a/events.out.tfevents.1689831925.04068359633a.397.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:61c90144b0ca7e0fde89548ec868e859364783dc5c177933f51136df2f9f815f
-size 5875
+oid sha256:ecb99344204369e94f26a7aa4516f1fac5328ff116f02e73c5eba49cbd8d0f58
+size 6598