Upload TFBertForPreTraining
Browse files- README.md +70 -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: bert_3
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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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# bert_3
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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: 6.0851
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- Epoch: 19
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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 | Epoch |
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|:----------:|:-----:|
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| 8.8352 | 0 |
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| 6.8732 | 1 |
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| 6.6390 | 2 |
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| 6.3008 | 3 |
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| 6.5051 | 4 |
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| 6.3542 | 5 |
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| 6.2322 | 6 |
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| 6.2831 | 7 |
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| 6.3018 | 8 |
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| 6.2346 | 9 |
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| 6.1593 | 10 |
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| 6.1451 | 11 |
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| 6.1091 | 12 |
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| 6.1909 | 13 |
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| 6.1473 | 14 |
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| 6.0694 | 15 |
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| 5.9517 | 16 |
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| 6.1890 | 17 |
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| 6.1535 | 18 |
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| 6.0851 | 19 |
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### Framework versions
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- Transformers 4.33.1
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- TensorFlow 2.10.0
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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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": "4.33.1",
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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:d1c830e1cf8883637f1afe482515cbc5aea87efa40fc2ad9234fafc597cc60fe
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size 526681688
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