add model
Browse files- README.md +46 -0
- config.json +33 -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: tf-albert-base-v2-squad2
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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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# tf-albert-base-v2-squad2
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This model is a fine-tuned version of [twmkn9/albert-base-v2-squad2](https://huggingface.co/twmkn9/albert-base-v2-squad2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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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: None
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- training_precision: float32
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### Training results
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### Framework versions
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- Transformers 4.17.0
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- TensorFlow 2.8.0
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- Tokenizers 0.11.6
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config.json
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{
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"_name_or_path": "twmkn9/albert-base-v2-squad2",
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"architectures": [
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"AlbertForQuestionAnswering"
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],
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"attention_probs_dropout_prob": 0,
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"bos_token_id": 2,
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"classifier_dropout_prob": 0.1,
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"down_scale_factor": 1,
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"embedding_size": 128,
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"eos_token_id": 3,
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"gap_size": 0,
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"hidden_act": "gelu_new",
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"hidden_dropout_prob": 0,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"inner_group_num": 1,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "albert",
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"net_structure_type": 0,
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"num_attention_heads": 12,
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"num_hidden_groups": 1,
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"num_hidden_layers": 12,
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"num_memory_blocks": 0,
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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": "4.17.0",
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"type_vocab_size": 2,
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"vocab_size": 30000
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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:cf73a75082ef7c14e1828858e90dbfedd76ca4f79b78781ee4d37a0509c7ed24
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size 44417752
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