mp-02 commited on
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End of training

Browse files
README.md CHANGED
@@ -22,16 +22,16 @@ model-index:
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  metrics:
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  - name: Precision
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  type: precision
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- value: 0.9265995453069178
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  - name: Recall
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  type: recall
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- value: 0.9459549071618037
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  - name: F1
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  type: f1
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- value: 0.936177194421657
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  - name: Accuracy
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  type: accuracy
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- value: 0.9808185454918453
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -41,11 +41,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [layoutlmv3](https://huggingface.co/layoutlmv3) on the mp-02/sroie dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0717
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- - Precision: 0.9266
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- - Recall: 0.9460
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- - F1: 0.9362
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- - Accuracy: 0.9808
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  ## Model description
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@@ -64,7 +64,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1e-06
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  - train_batch_size: 6
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  - eval_batch_size: 6
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  - seed: 42
@@ -76,12 +76,12 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 2.3810 | 250 | 0.1477 | 0.8827 | 0.8654 | 0.8739 | 0.9628 |
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- | 0.3014 | 4.7619 | 500 | 0.0899 | 0.9138 | 0.9274 | 0.9205 | 0.9759 |
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- | 0.3014 | 7.1429 | 750 | 0.0765 | 0.9257 | 0.9377 | 0.9316 | 0.9795 |
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- | 0.0669 | 9.5238 | 1000 | 0.0717 | 0.9266 | 0.9460 | 0.9362 | 0.9808 |
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- | 0.0669 | 11.9048 | 1250 | 0.0713 | 0.9216 | 0.9476 | 0.9344 | 0.9803 |
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- | 0.0562 | 14.2857 | 1500 | 0.0712 | 0.9203 | 0.9493 | 0.9346 | 0.9803 |
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  ### Framework versions
 
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  metrics:
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  - name: Precision
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  type: precision
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+ value: 0.920911104080987
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  - name: Recall
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  type: recall
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+ value: 0.9651856763925729
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  - name: F1
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  type: f1
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+ value: 0.9425287356321839
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9821007282798235
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [layoutlmv3](https://huggingface.co/layoutlmv3) on the mp-02/sroie dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0614
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+ - Precision: 0.9209
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+ - Recall: 0.9652
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+ - F1: 0.9425
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+ - Accuracy: 0.9821
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 3e-06
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  - train_batch_size: 6
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  - eval_batch_size: 6
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 2.3810 | 250 | 0.0761 | 0.9321 | 0.9324 | 0.9322 | 0.9797 |
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+ | 0.1488 | 4.7619 | 500 | 0.0675 | 0.9074 | 0.9655 | 0.9356 | 0.9799 |
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+ | 0.1488 | 7.1429 | 750 | 0.0629 | 0.9152 | 0.9622 | 0.9381 | 0.9808 |
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+ | 0.0384 | 9.5238 | 1000 | 0.0620 | 0.9175 | 0.9655 | 0.9409 | 0.9816 |
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+ | 0.0384 | 11.9048 | 1250 | 0.0620 | 0.9215 | 0.9652 | 0.9428 | 0.9822 |
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+ | 0.0313 | 14.2857 | 1500 | 0.0614 | 0.9209 | 0.9652 | 0.9425 | 0.9821 |
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  ### Framework versions
all_results.json CHANGED
@@ -1,10 +1,10 @@
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  {
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- "predict_f1": 0.9401396740937812,
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- "predict_loss": 0.06455250084400177,
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- "predict_recall": 0.9379562043795621,
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- "predict_runtime": 17.0658,
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- "predict_samples_per_second": 10.196,
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- "predict_steps_per_second": 1.699
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  }
 
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  {
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+ "predict_recall": 0.9704711347047114,
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+ "predict_samples_per_second": 10.358,
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+ "predict_steps_per_second": 1.726
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  }
predict_results.json CHANGED
@@ -1,10 +1,10 @@
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  {
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- "predict_recall": 0.9379562043795621,
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- "predict_runtime": 17.0658,
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- "predict_samples_per_second": 10.196,
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- "predict_steps_per_second": 1.699
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  }
 
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  {
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+ "predict_accuracy": 0.9870490745794671,
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+ "predict_recall": 0.9704711347047114,
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+ "predict_runtime": 16.7992,
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+ "predict_samples_per_second": 10.358,
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+ "predict_steps_per_second": 1.726
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  }
predictions.txt CHANGED
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runs/Aug27_00-43-41_bernini/events.out.tfevents.1724713583.bernini.8921.1 ADDED
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