End of training

README.md

@@ -3,11 +3,6 @@ license: cc-by-nc-sa-4.0
 base_model: microsoft/layoutlmv3-base
 tags:
 - generated_from_trainer
-metrics:
-- precision
-- recall
-- f1
-- accuracy
 model-index:
 - name: test
   results: []
@@ -19,12 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
 # test
 
 This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.3627
-- Precision: 0.7148
-- Recall: 0.7088
-- F1: 0.7118
-- Accuracy: 0.9032
 
 ## Model description
 
@@ -49,27 +38,18 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- training_steps: 1000
+- training_steps: 50
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.33  | 100  | 0.4056          | 0.6460    | 0.5835 | 0.6132 | 0.8685   |
-| No log        | 2.67  | 200  | 0.3499          | 0.6746    | 0.6802 | 0.6774 | 0.8861   |
-| No log        | 4.0   | 300  | 0.3073          | 0.6911    | 0.6862 | 0.6886 | 0.8922   |
-| No log        | 5.33  | 400  | 0.3086          | 0.6899    | 0.6957 | 0.6928 | 0.9001   |
-| 0.388         | 6.67  | 500  | 0.3042          | 0.6973    | 0.7064 | 0.7018 | 0.8988   |
-| 0.388         | 8.0   | 600  | 0.3202          | 0.6990    | 0.6957 | 0.6974 | 0.8966   |
-| 0.388         | 9.33  | 700  | 0.3441          | 0.6937    | 0.6945 | 0.6941 | 0.8948   |
-| 0.388         | 10.67 | 800  | 0.3488          | 0.6925    | 0.7041 | 0.6982 | 0.8948   |
-| 0.388         | 12.0  | 900  | 0.3601          | 0.7011    | 0.7053 | 0.7032 | 0.8983   |
-| 0.1127        | 13.33 | 1000 | 0.3627          | 0.7148    | 0.7088 | 0.7118 | 0.9032   |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
+| No log        | 3.85  | 50   | 0.0             | 1.0       | 1.0    | 1.0 | 1.0      |
 
 
 ### Framework versions
 
 - Transformers 4.39.0.dev0
 - Pytorch 2.1.0+cu121
-- Datasets 2.17.1
+- Datasets 2.18.0
 - Tokenizers 0.15.2

config.json

@@ -14,19 +14,13 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
-    "0": "question",
-    "1": "answer",
-    "2": "header",
-    "3": "other"
+    "0": "attorney_section"
   },
   "initializer_range": 0.02,
   "input_size": 224,
   "intermediate_size": 3072,
   "label2id": {
-    "answer": 1,
-    "header": 2,
-    "other": 3,
-    "question": 0
+    "attorney_section": 0
   },
   "layer_norm_eps": 1e-05,
   "max_2d_position_embeddings": 1024,

model.safetensors

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runs/Mar04_05-46-41_a67e069a8e40/events.out.tfevents.1709531202.a67e069a8e40.184.0

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training_args.bin

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