Upload TFBertForSequenceClassification
Browse files- README.md +65 -0
- config.json +27 -0
- tf_model.h5 +3 -0
README.md
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---
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license: apache-2.0
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base_model: veriga/tf_disilbert
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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_disilbert_binary
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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_disilbert_binary
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This model is a fine-tuned version of [veriga/tf_disilbert](https://huggingface.co/veriga/tf_disilbert) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.6953
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- Train Sparse Categorical Accuracy: 0.5176
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- Validation Loss: 0.6956
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- Validation Sparse Categorical Accuracy: 0.4505
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- Epoch: 9
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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': 5e-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 | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
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|:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
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| 0.6983 | 0.5221 | 0.6895 | 0.5495 | 0 |
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| 0.6958 | 0.5288 | 0.6887 | 0.5486 | 1 |
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| 0.6976 | 0.5244 | 0.6893 | 0.5486 | 2 |
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| 0.6962 | 0.5252 | 0.6894 | 0.5503 | 3 |
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| 0.6969 | 0.5180 | 0.6880 | 0.5512 | 4 |
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| 0.6972 | 0.5207 | 0.6899 | 0.5486 | 5 |
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| 0.6982 | 0.5214 | 0.6879 | 0.5512 | 6 |
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| 0.6954 | 0.5299 | 0.6889 | 0.5486 | 7 |
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| 0.6964 | 0.5276 | 0.6898 | 0.5477 | 8 |
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| 0.6953 | 0.5176 | 0.6956 | 0.4505 | 9 |
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### Framework versions
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- Transformers 4.36.2
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- TensorFlow 2.8.2
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- Datasets 2.2.2
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- Tokenizers 0.15.0
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config.json
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{
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"_name_or_path": "veriga/tf_disilbert",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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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": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 1024,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "multi_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.36.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 33300
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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 sha256:904e2f9b27deece2126114e37f2dbb44f66ababaf73f923df48576dea3ba1043
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size 448330072
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