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End of training

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README.md ADDED
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+ ---
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+ base_model: dccuchile/bert-base-spanish-wwm-uncased
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: bert_adaptation_peppa_pig
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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 the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # bert_adaptation_peppa_pig
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+
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+ This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.1770
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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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+ - learning_rate: 2e-05
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 5
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.1991 | 1.0 | 35 | 2.2332 |
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+ | 2.1524 | 2.0 | 70 | 2.0712 |
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+ | 1.9057 | 3.0 | 105 | 2.0536 |
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+ | 1.8771 | 4.0 | 140 | 2.1396 |
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+ | 1.884 | 5.0 | 175 | 2.0269 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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+ "BertForMaskedLM"
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+ ],
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+ "initializer_range": 0.02,
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+ "layer_norm_eps": 1e-12,
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+ "num_attention_heads": 12,
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+ "output_past": true,
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+ "position_embedding_type": "absolute",
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+ "torch_dtype": "float32",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 31002
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+ }
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