Upload TFBertForPreTraining
Browse files- README.md +59 -0
- config.json +23 -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-tv-portuguese
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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-tv-portuguese
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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: 2.3734
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- Epoch: 8
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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': 'AdamW', 'weight_decay': 0.004, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.000102, '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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| 6.3513 | 0 |
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| 4.4775 | 1 |
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| 3.5899 | 2 |
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| 3.1742 | 3 |
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| 2.9347 | 4 |
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| 2.7461 | 5 |
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| 2.5957 | 6 |
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| 2.4721 | 7 |
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| 2.3734 | 8 |
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### Framework versions
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- Transformers 4.27.3
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- TensorFlow 2.11.1
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- Datasets 2.11.0
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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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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.2,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 1024,
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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": 6,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"transformers_version": "4.27.3",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 29794
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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:bafd6303abdefb54ddff1f6b0dbdc709acf555f00b2fb5c30e15e93dc85f6dd2
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size 285808616
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