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add model
Browse files- README.md +51 -0
- config.json +26 -0
- tf_model.h5 +3 -0
README.md
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---
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tags:
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- generated_from_keras_callback
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model-index:
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- name: tmp825cditc
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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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# tmp825cditc
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 1.1470
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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': 'Adam', 'learning_rate': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
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- training_precision: float32
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### Training results
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| Train Loss | Epoch |
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|:----------:|:-----:|
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| 1.1470 | 0 |
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### Framework versions
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- Transformers 4.18.0
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- TensorFlow 2.6.2
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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config.json
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{
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"architectures": [
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"BertForPreTraining"
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],
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"attention_probs_dropout_prob": 0.1,
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"author": "Heewon Jeon(madjakarta@gmail.com)",
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"classifier_dropout": null,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 48,
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"initializer_range": 0.02,
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"intermediate_size": 48,
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"kobert_version": 1.0,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 72,
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"model_type": "bert",
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"num_attention_heads": 4,
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"num_hidden_layers": 4,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"transformers_version": "4.18.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 8002
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}
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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:e2bed9052c3384f1fed054eda2d800cb7b468801a45bcf4f12d325a740f47f02
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size 3505160
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