End of training
Browse files- README.md +16 -16
- all_results.json +8 -8
- predict_results.json +8 -8
- predictions.txt +0 -0
- runs/Aug27_00-43-41_bernini/events.out.tfevents.1724713583.bernini.8921.1 +3 -0
README.md
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metrics:
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- name: Precision
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type: precision
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value: 0.
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- name: Recall
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type: recall
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value: 0.
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- name: F1
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type: f1
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value: 0.
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- name: Accuracy
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type: accuracy
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value: 0.
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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.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- Accuracy: 0.
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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:
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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.
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| 0.
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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
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all_results.json
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{
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"predict_accuracy": 0.
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"predict_f1": 0.
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"predict_loss": 0.
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"predict_precision": 0.
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"predict_recall": 0.
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"predict_runtime":
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"predict_samples_per_second": 10.
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"predict_steps_per_second": 1.
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}
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{
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"predict_accuracy": 0.9870490745794671,
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"predict_f1": 0.9560385683935283,
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"predict_loss": 0.05284883826971054,
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"predict_precision": 0.9420289855072463,
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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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}
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predict_results.json
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{
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"predict_accuracy": 0.
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"predict_f1": 0.
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"predict_loss": 0.
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"predict_precision": 0.
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"predict_recall": 0.
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"predict_runtime":
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"predict_samples_per_second": 10.
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"predict_steps_per_second": 1.
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}
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{
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"predict_accuracy": 0.9870490745794671,
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"predict_f1": 0.9560385683935283,
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"predict_loss": 0.05284883826971054,
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"predict_precision": 0.9420289855072463,
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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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}
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predictions.txt
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runs/Aug27_00-43-41_bernini/events.out.tfevents.1724713583.bernini.8921.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:01f279da107410b60e37dbe3ed1d511559fffee1b8c56aa6f199e7d44862cbe6
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size 560
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