Upload TFBertForPreTraining
Browse files- README.md +52 -0
- config.json +24 -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: pretrained-bert
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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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# pretrained-bert
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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: 8.4376
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- Validation Loss: 8.8753
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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': 1e-04, '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 | Validation Loss | Epoch |
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|:----------:|:---------------:|:-----:|
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| 8.4376 | 8.8753 | 0 |
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### Framework versions
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- Transformers 4.26.0.dev0
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- TensorFlow 2.9.2
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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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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"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": 512,
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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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"transformers_version": "4.26.0.dev0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 28996
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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:a01bcc851d5b0b91f5e3dd502e3d5aa18e13de9fb6aa5debcdde7ec17f7ad496
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size 526681688
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