Training in progress, epoch 1
Browse files
README.md
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@@ -4,6 +4,8 @@ base_model: google-bert/bert-base-multilingual-uncased
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tags:
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- classification
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- generated_from_trainer
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model-index:
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- name: clasificador-ser-estar
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results: []
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@@ -16,7 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| No log | 1.0 | 77 | 0.
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| No log | 2.0 | 154 | 0.
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| No log | 3.0 | 231 | 0.
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### Framework versions
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tags:
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- classification
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: clasificador-ser-estar
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results: []
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This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3110
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- Accuracy: 0.9064
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 77 | 0.3969 | 0.9064 |
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| No log | 2.0 | 154 | 0.3107 | 0.9064 |
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| No log | 3.0 | 231 | 0.3110 | 0.9064 |
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### Framework versions
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config.json
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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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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "No",
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"1": "S\u00ed"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"No": 0,
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"S\u00ed": 1
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},
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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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model.safetensors
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tokenizer.json
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"truncation": {
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"direction": "Right",
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training_args.bin
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