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: nickban/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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# nickban/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: 1.7062
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- Validation Loss: 1.4015
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- Train Overall Precision: 0.2826
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- Train Overall Recall: 0.3011
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- Train Overall F1: 0.2915
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- Train Overall Accuracy: 0.5146
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- Epoch: 0
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
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- training_precision: mixed_float16
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### Training results
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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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| 1.7062 | 1.4015 | 0.2826 | 0.3011 | 0.2915 | 0.5146 | 0 |
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### Framework versions
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- Transformers 4.34.1
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- TensorFlow 2.14.0
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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config.json
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{
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"_name_or_path": "microsoft/layoutlm-base-uncased",
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"architectures": [
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"LayoutLMForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "O",
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"1": "B-HEADER",
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"2": "I-HEADER",
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"3": "B-QUESTION",
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"4": "I-QUESTION",
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"5": "B-ANSWER",
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"6": "I-ANSWER"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"B-ANSWER": 5,
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"B-HEADER": 1,
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"B-QUESTION": 3,
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"I-ANSWER": 6,
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"I-HEADER": 2,
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"I-QUESTION": 4,
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"O": 0
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},
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"layer_norm_eps": 1e-12,
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"max_2d_position_embeddings": 1024,
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"max_position_embeddings": 512,
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"model_type": "layoutlm",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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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": "4.34.1",
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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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}
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logs/train/events.out.tfevents.1698901509.DESKTOP-F9DNR2E.13972.0.v2
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version https://git-lfs.github.com/spec/v1
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oid sha256:84d7273ea8e043ad11201212818881ce8f1b69dcb2ae625a953bb3180b2ac1d9
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size 2418053
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logs/validation/events.out.tfevents.1698902007.DESKTOP-F9DNR2E.13972.1.v2
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version https://git-lfs.github.com/spec/v1
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oid sha256:8569535c0a092f7b9c4a59823ec75a3a07922fdbb7364dd8e3cdb7d88eed60b8
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size 231
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:fbe49fb5e35ea4924ad7123e65fa6506fe1bd1807520bd3f3bdb70025a6960cf
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size 450829256
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