test

README.md

@@ -8,7 +8,7 @@ metrics:
 - f1
 - precision
 model-index:
-- name: test_trainer_20240918_1411
+- name: bert-fraud-classification-test
   results: []
 ---
 
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/sandeshrajx/ultron-nlp/runs/ehdpl54g)
 [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/sandeshrajx/ultron-nlp/runs/ehdpl54g)
-# test_trainer_20240918_1411
+# bert-fraud-classification-test
 
 This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on the None dataset.
 It achieves the following results on the evaluation set:

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:5ece75396a0eff665ebf0959d83bbcf22d51c43cde1e10f6f405e5464d7dbc0f
 size 5176