End of training

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: google-bert/bert-large-cased
+base_model: google-bert/bert-base-multilingual-cased
 tags:
 - generated_from_trainer
 metrics:
@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # germanic_peoplecentric_eng
 
-This model is a fine-tuned version of [google-bert/bert-large-cased](https://huggingface.co/google-bert/bert-large-cased) on the None dataset.
+This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5708
-- Accuracy: 0.7303
-- F1: 0.7722
+- Loss: 0.4867
+- Accuracy: 0.7993
+- F1: 0.8356
 
 ## Model description
 
@@ -52,9 +52,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 76   | 0.6456          | 0.6020   | 0.6533 |
-| 0.65          | 2.0   | 152  | 0.6183          | 0.6678   | 0.6752 |
-| 0.4963        | 3.0   | 228  | 0.5708          | 0.7303   | 0.7722 |
+| No log        | 1.0   | 76   | 0.5617          | 0.7072   | 0.7359 |
+| 0.5976        | 2.0   | 152  | 0.4622          | 0.7993   | 0.8347 |
+| 0.3645        | 3.0   | 228  | 0.4867          | 0.7993   | 0.8356 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:e11a42d387bcea52aed1cd70bf96d7ac38770539d7d3a5d00c4cb55f5494ebe7
 size 711443456

runs/Nov26_02-35-46_6921bf48f74f/events.out.tfevents.1732588550.6921bf48f74f.11032.4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 6777
+oid sha256:19ea087ac3b3815bf05efda8c6a159f6278f2e17177af6ceb130445fa731985a
+size 7131