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Model save

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README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0156
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- - Precision: 0.6569
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- - Recall: 0.4290
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- - F1: 0.5190
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- - Accuracy: 0.9959
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  ## Model description
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@@ -55,14 +55,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 137 | 0.0394 | 0.0419 | 0.0191 | 0.0263 | 0.9893 |
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- | No log | 2.0 | 274 | 0.0195 | 0.5622 | 0.3825 | 0.4553 | 0.9956 |
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- | No log | 3.0 | 411 | 0.0156 | 0.6569 | 0.4290 | 0.5190 | 0.9959 |
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  ### Framework versions
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- - Transformers 4.34.1
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  - Pytorch 2.1.0+cu118
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  - Datasets 2.14.6
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  - Tokenizers 0.14.1
 
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  This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0490
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+ - Precision: 0.0
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+ - Recall: 0.0
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+ - F1: 0.0
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+ - Accuracy: 0.9893
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 77 | 0.0905 | 0.0 | 0.0 | 0.0 | 0.9829 |
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+ | No log | 2.0 | 154 | 0.0540 | 0.02 | 0.0068 | 0.0101 | 0.9885 |
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+ | No log | 3.0 | 231 | 0.0490 | 0.0 | 0.0 | 0.0 | 0.9893 |
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  ### Framework versions
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+ - Transformers 4.35.0
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  - Pytorch 2.1.0+cu118
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  - Datasets 2.14.6
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  - Tokenizers 0.14.1
config.json CHANGED
@@ -55,7 +55,7 @@
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  "pooler_type": "first_token_transform",
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  "position_embedding_type": "absolute",
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  "torch_dtype": "float32",
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- "transformers_version": "4.34.1",
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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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  "pooler_type": "first_token_transform",
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  "position_embedding_type": "absolute",
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  "torch_dtype": "float32",
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+ "transformers_version": "4.35.0",
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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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