add model
Browse files- README.md +46 -0
- config.json +45 -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-emo-mobilebert
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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-emo-mobilebert
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This model is a fine-tuned version of [lordtt13/emo-mobilebert](https://huggingface.co/lordtt13/emo-mobilebert) 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": "lordtt13/emo-mobilebert",
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"architectures": [
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"MobileBertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_activation": true,
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"classifier_dropout": null,
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"embedding_size": 128,
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"hidden_act": "relu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 512,
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"id2label": {
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"0": "others",
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"1": "happy",
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"2": "sad",
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"3": "angry"
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},
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"initializer_range": 0.02,
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"intermediate_size": 512,
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"intra_bottleneck_size": 128,
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"key_query_shared_bottleneck": true,
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"label2id": {
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"angry": 3,
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"happy": 1,
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"others": 0,
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"sad": 2
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},
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"layer_norm_eps": 1e-12,
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"max_length": 128,
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"max_position_embeddings": 512,
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"model_type": "mobilebert",
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"normalization_type": "no_norm",
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"num_attention_heads": 4,
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"num_feedforward_networks": 4,
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"num_hidden_layers": 24,
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"pad_token_id": 0,
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"transformers_version": "4.17.0",
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"trigram_input": true,
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"true_hidden_size": 128,
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"type_vocab_size": 2,
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"use_bottleneck": true,
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"use_bottleneck_attention": false,
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"vocab_size": 2016
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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 sha256:1ae0efa253a3ded43158d8d7726c008dd570f9edeec58ba3d194c4bd3c2d6810
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size 86296032
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