End of training

README.md

@@ -3,6 +3,8 @@ license: cc-by-nc-sa-4.0
 base_model: microsoft/layoutlmv3-base
 tags:
 - generated_from_trainer
+datasets:
+- funsd
 metrics:
 - precision
 - recall
@@ -10,7 +12,26 @@ metrics:
 - accuracy
 model-index:
 - name: layoutlmv3-test
-  results: []
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: funsd
+      type: funsd
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.8972868217054264
+    - name: Recall
+      type: recall
+      value: 0.920019870839543
+    - name: F1
+      type: f1
+      value: 0.9085111601667893
+    - name: Accuracy
+      type: accuracy
+      value: 0.8480922382027815
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,7 +39,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # layoutlmv3-test
 
-This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on an unknown dataset.
+This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the funsd dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.8036
 - Precision: 0.8973

all_results.json

@@ -0,0 +1,17 @@
+{
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+    "eval_f1": 0.9085111601667893,
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+    "eval_precision": 0.8972868217054264,
+    "eval_recall": 0.920019870839543,
+    "eval_runtime": 9.9328,
+    "eval_samples": 50,
+    "eval_samples_per_second": 5.034,
+    "eval_steps_per_second": 0.705,
+    "train_loss": 0.16229200553894044,
+    "train_runtime": 3424.968,
+    "train_samples": 149,
+    "train_samples_per_second": 2.336,
+    "train_steps_per_second": 0.292
+}

eval_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 52.63,
+    "eval_accuracy": 0.8480922382027815,
+    "eval_f1": 0.9085111601667893,
+    "eval_loss": 0.8036019206047058,
+    "eval_precision": 0.8972868217054264,
+    "eval_recall": 0.920019870839543,
+    "eval_runtime": 9.9328,
+    "eval_samples": 50,
+    "eval_samples_per_second": 5.034,
+    "eval_steps_per_second": 0.705
+}

runs/Jan29_11-59-09_4a5735714a55/events.out.tfevents.1706533051.4a5735714a55.12220.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2e72a0fb020802ad473129ce20ebc76cdc44a79b31e948ec4c03b760f984ea73
+size 560

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 52.63,
+    "train_loss": 0.16229200553894044,
+    "train_runtime": 3424.968,
+    "train_samples": 149,
+    "train_samples_per_second": 2.336,
+    "train_steps_per_second": 0.292
+}

trainer_state.json

@@ -0,0 +1,160 @@
+{
+  "best_metric": 0.9085111601667893,
+  "best_model_checkpoint": "layoutlmv3-test/checkpoint-1000",
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+  "global_step": 1000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+}