End of training

README.md

@@ -1,10 +1,10 @@
 ---
 license: cc-by-sa-4.0
+base_model: sguarnaccio/document_type_identification
 tags:
 - generated_from_trainer
 metrics:
 - accuracy
-base_model: nlpaueb/bert-base-uncased-contracts
 model-index:
 - name: document_type_identification
   results: []
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # document_type_identification
 
-This model is a fine-tuned version of [nlpaueb/bert-base-uncased-contracts](https://huggingface.co/nlpaueb/bert-base-uncased-contracts) on the None dataset.
+This model is a fine-tuned version of [sguarnaccio/document_type_identification](https://huggingface.co/sguarnaccio/document_type_identification) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3051
-- Accuracy: 0.9655
+- Loss: 0.1899
+- Accuracy: 0.9452
 
 ## Model description
 
@@ -49,14 +49,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 43   | 0.2190          | 0.9655   |
-| No log        | 2.0   | 86   | 0.2526          | 0.9770   |
-| No log        | 3.0   | 129  | 0.3051          | 0.9655   |
+| 0.3343        | 1.0   | 748  | 0.1788          | 0.9264   |
+| 0.2262        | 2.0   | 1496 | 0.2216          | 0.9365   |
+| 0.1487        | 3.0   | 2244 | 0.1899          | 0.9452   |
 
 
 ### Framework versions
 
-- Transformers 4.38.1
+- Transformers 4.38.2
 - Pytorch 2.1.0+cu121
 - Datasets 2.18.0
 - Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
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 size 437958648

runs/Mar12_18-15-25_0ad133400eba/events.out.tfevents.1710267517.0ad133400eba.260.0

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