End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: mit
-base_model: Amna100/PreTraining-MLM
+base_model: austin/Austin-MeDeBERTa
 tags:
 - generated_from_trainer
 metrics:
@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # fold_0
 
-This model is a fine-tuned version of [Amna100/PreTraining-MLM](https://huggingface.co/Amna100/PreTraining-MLM) on the None dataset.
+This model is a fine-tuned version of [austin/Austin-MeDeBERTa](https://huggingface.co/austin/Austin-MeDeBERTa) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0109
-- Precision: 0.7165
-- Recall: 0.7319
-- F1: 0.7241
-- Accuracy: 0.9971
+- Loss: 0.0091
+- Precision: 0.7601
+- Recall: 0.7219
+- F1: 0.7405
+- Accuracy: 0.9976
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.0347        | 1.0   | 635  | 0.0121          | 0.5782    | 0.5550 | 0.5663 | 0.9960   |
-| 0.0107        | 2.0   | 1270 | 0.0114          | 0.8084    | 0.6220 | 0.7030 | 0.9970   |
-| 0.0062        | 3.0   | 1905 | 0.0109          | 0.7165    | 0.7319 | 0.7241 | 0.9971   |
+| 0.0461        | 1.0   | 635  | 0.0107          | 0.7529    | 0.5858 | 0.6589 | 0.9972   |
+| 0.0098        | 2.0   | 1270 | 0.0087          | 0.7176    | 0.7219 | 0.7198 | 0.9974   |
+| 0.0068        | 3.0   | 1905 | 0.0091          | 0.7601    | 0.7219 | 0.7405 | 0.9976   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:21d20a3dbff304534d01f7c52e5ee46470fe844eccceb90eb0bcccf9f5e3477f
+oid sha256:f7fb9c4ddf4a12ce6a3aff95ffe459e45b30656bc265649bb56caff9dd11c910
 size 554446244