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Training in progress epoch 1

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Files changed (8) hide show
  1. README.md +61 -0
  2. config.json +35 -0
  3. merges.txt +0 -0
  4. special_tokens_map.json +51 -0
  5. tf_model.h5 +3 -0
  6. tokenizer.json +0 -0
  7. tokenizer_config.json +65 -0
  8. vocab.json +0 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: PlanTL-GOB-ES/roberta-base-bne
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+ tags:
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+ - generated_from_keras_callback
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+ model-index:
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+ - name: RafaelMayer/copec-whatsapp-13-roberta
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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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+ # RafaelMayer/copec-whatsapp-13-roberta
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+
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+ This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Train Loss: 0.6829
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+ - Validation Loss: 0.6850
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+ - Train Accuracy: 0.7647
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+ - Train Precision: [0. 0.76470588]
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+ - Train Precision W: 0.5848
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+ - Train Recall: [0. 1.]
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+ - Train Recall W: 0.7647
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+ - Train F1: [0. 0.86666667]
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+ - Train F1 W: 0.6627
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+ - Epoch: 1
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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': 'Adam', 'weight_decay': None, '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': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': -460, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 500, 'power': 1.0, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
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+ - training_precision: float32
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+
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+ ### Training results
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+
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+ | Train Loss | Validation Loss | Train Accuracy | Train Precision | Train Precision W | Train Recall | Train Recall W | Train F1 | Train F1 W | Epoch |
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+ |:----------:|:---------------:|:--------------:|:-----------------------:|:-----------------:|:------------:|:--------------:|:-----------------------:|:----------:|:-----:|
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+ | 0.6829 | 0.6850 | 0.7647 | [0. 0.76470588] | 0.5848 | [0. 1.] | 0.7647 | [0. 0.86666667] | 0.6627 | 1 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.31.0
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+ - TensorFlow 2.12.0
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+ - Datasets 2.14.4
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+ - Tokenizers 0.13.3
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