stevethecur
commited on
Commit
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75a0ca4
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Parent(s):
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Training in progress epoch 0
Browse files
README.md
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---
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base_model: microsoft/layoutlm-base-uncased
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tags:
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- generated_from_keras_callback
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model-index:
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- name: layoutlm-funsd-tf
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# layoutlm-funsd-tf
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This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss:
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- Validation Loss:
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- Train Overall Precision: 0.
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- Train Overall Recall: 0.
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- Train Overall F1: 0.
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- Train Overall Accuracy: 0.
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- Epoch:
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## Model description
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| Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
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|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
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| 1.
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| 1.1897 | 0.9029 | 0.5570 | 0.6673 | 0.6072 | 0.7282 | 1 |
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| 0.7789 | 0.7082 | 0.6413 | 0.7401 | 0.6872 | 0.7701 | 2 |
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| 0.5964 | 0.6498 | 0.6840 | 0.7647 | 0.7221 | 0.7926 | 3 |
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| 0.4653 | 0.6611 | 0.7031 | 0.7737 | 0.7367 | 0.7890 | 4 |
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| 0.3663 | 0.6544 | 0.7159 | 0.8028 | 0.7569 | 0.8027 | 5 |
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| 0.3010 | 0.6662 | 0.7274 | 0.7913 | 0.7580 | 0.8034 | 6 |
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| 0.2493 | 0.6923 | 0.7272 | 0.8013 | 0.7625 | 0.8013 | 7 |
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### Framework versions
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- Transformers 4.
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- TensorFlow 2.
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- Datasets 2.
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- Tokenizers 0.
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---
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license: mit
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base_model: microsoft/layoutlm-base-uncased
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tags:
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- generated_from_keras_callback
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model-index:
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- name: stevethecur/layoutlm-funsd-tf
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# stevethecur/layoutlm-funsd-tf
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This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 1.7553
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- Validation Loss: 1.6258
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- Train Overall Precision: 0.2306
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- Train Overall Recall: 0.1134
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- Train Overall F1: 0.1520
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- Train Overall Accuracy: 0.3303
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- Epoch: 0
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## Model description
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| Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
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|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
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| 1.7553 | 1.6258 | 0.2306 | 0.1134 | 0.1520 | 0.3303 | 0 |
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### Framework versions
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- Transformers 4.37.2
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- TensorFlow 2.15.0
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- Datasets 2.17.0
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- Tokenizers 0.15.2
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config.json
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"output_past": true,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"transformers_version": "4.
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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"output_past": true,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"transformers_version": "4.37.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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logs/train/events.out.tfevents.1708026157.d540e77a249f.752.0.v2
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size 2364935
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logs/validation/events.out.tfevents.1708026226.d540e77a249f.752.1.v2
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tf_model.h5
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