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Training in progress epoch 0

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  1. README.md +54 -0
  2. config.json +26 -0
  3. special_tokens_map.json +15 -0
  4. tf_model.h5 +3 -0
  5. tokenizer.json +0 -0
  6. tokenizer_config.json +22 -0
README.md ADDED
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+ ---
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+ license: mit
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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-tpu/roberta-base-epochs-500-no-wd
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+ results: []
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+ ---
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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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+
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+ # tf-tpu/roberta-base-epochs-500-no-wd
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+
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+ This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Train Loss: 8.3405
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+ - Train Accuracy: 0.0208
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+ - Validation Loss: 7.1562
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+ - Validation Accuracy: 0.0259
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+ - Epoch: 0
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 0.0001, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0001, 'decay_steps': 278825, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 14675, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.001}
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+ - training_precision: mixed_bfloat16
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+
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+ ### Training results
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+
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+ | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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+ |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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+ | 8.3405 | 0.0208 | 7.1562 | 0.0259 | 0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.27.0.dev0
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+ - TensorFlow 2.9.1
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+ - Tokenizers 0.13.2
config.json ADDED
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+ {
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+ "_name_or_path": "roberta-base",
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+ "architectures": [
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+ "RobertaForMaskedLM"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "bos_token_id": 0,
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+ "eos_token_id": 2,
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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-05,
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+ "max_position_embeddings": 514,
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+ "model_type": "roberta",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 1,
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+ "position_embedding_type": "absolute",
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+ "transformers_version": "4.27.0.dev0",
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ "vocab_size": 25000
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+ }
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