End of training

README.md

@@ -6,19 +6,19 @@ tags:
 metrics:
 - accuracy
 model-index:
-- name: test_trainer
+- name: bert-law-text-classification
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# test_trainer
+# bert-law-text-classification
 
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9830
-- Accuracy: 0.7477
+- Loss: 0.6489
+- Accuracy: 0.8207
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 128  | 1.7710          | 0.4725   |
-| No log        | 2.0   | 256  | 1.0817          | 0.7339   |
-| No log        | 3.0   | 384  | 0.9830          | 0.7477   |
+| No log        | 1.0   | 146  | 1.5372          | 0.4828   |
+| No log        | 2.0   | 292  | 0.8196          | 0.7655   |
+| No log        | 3.0   | 438  | 0.6489          | 0.8207   |
 
 
 ### Framework versions

model.safetensors

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 size 433301528

training_args.bin

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