PolizzeDonut-XLSNuoveAnnot-3Epochs

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [tedad09/PolizzeDonut-SoloPDF-3Epochs](https://huggingface.co/tedad09/PolizzeDonut-SoloPDF-3Epochs) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3208
+- Loss: 0.3197
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.3049        | 1.0   | 26   | 0.4049          |
-| 0.9965        | 2.0   | 52   | 0.3543          |
-| 0.7591        | 3.0   | 78   | 0.3208          |
+| 1.4804        | 1.0   | 26   | 0.4206          |
+| 1.0571        | 2.0   | 52   | 0.3532          |
+| 0.8079        | 3.0   | 78   | 0.3197          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:42cfcce698b4b2db65e25bc53921efac698a673f2bc1499a95425e6850552c49
 size 809177240

special_tokens_map.json

@@ -57,28 +57,28 @@
       "single_word": false
     },
     {
-      "content": "<s_Goods_Description>",
+      "content": "<s_Marks>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
       "single_word": false
     },
     {
-      "content": "</s_Goods_Description>",
+      "content": "</s_Marks>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
       "single_word": false
     },
     {
-      "content": "<s_Marks>",
+      "content": "<s_Goods_Description>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
       "single_word": false
     },
     {
-      "content": "</s_Marks>",
+      "content": "</s_Goods_Description>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,

tokenizer_config.json

@@ -282,10 +282,10 @@
     "</s_Notify>",
     "<s_Second_Notify>",
     "</s_Second_Notify>",
-    "<s_Goods_Description>",
-    "</s_Goods_Description>",
     "<s_Marks>",
     "</s_Marks>",
+    "<s_Goods_Description>",
+    "</s_Goods_Description>",
     "<s_Total_Packages>",
     "</s_Total_Packages>",
     "<s_Total_Weight>",

training_args.bin

@@ -1,3 +1,3 @@
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 size 5048