End of training

README.md

@@ -1,6 +1,5 @@
 ---
-license: apache-2.0
-base_model: bert-base-uncased
+base_model: ProsusAI/finbert
 tags:
 - generated_from_trainer
 metrics:
@@ -15,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # regbert
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
+This model is a fine-tuned version of [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6435
-- Accuracy: 0.7
+- Loss: 0.5787
+- Accuracy: 0.7333
 
 ## Model description
 
@@ -49,8 +48,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 15   | 0.6030          | 0.7333   |
-| No log        | 2.0   | 30   | 0.6435          | 0.7      |
+| No log        | 1.0   | 15   | 0.5785          | 0.7333   |
+| No log        | 2.0   | 30   | 0.5787          | 0.7333   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d1074aa7892e16b4fc2c07bfeba5a3a4c43a93abfb3d148fbd947752579db19d
 size 437958648