luigisaetta commited on
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haspeech_ita

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README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  license: apache-2.0
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- base_model: bert-base-cased
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # haspeech_ita
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- This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1077
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- - Accuracy: 0.9837
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  ## Model description
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@@ -50,17 +50,17 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.6174 | 0.72 | 100 | 0.5599 | 0.7425 |
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- | 0.5737 | 1.44 | 200 | 0.4727 | 0.7886 |
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- | 0.4188 | 2.16 | 300 | 0.3844 | 0.8482 |
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- | 0.2411 | 2.88 | 400 | 0.1425 | 0.9566 |
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- | 0.1376 | 3.6 | 500 | 0.1483 | 0.9566 |
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- | 0.1045 | 4.32 | 600 | 0.1069 | 0.9783 |
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- | 0.0485 | 5.04 | 700 | 0.1390 | 0.9783 |
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- | 0.0217 | 5.76 | 800 | 0.0962 | 0.9864 |
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- | 0.0137 | 6.47 | 900 | 0.0788 | 0.9892 |
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- | 0.0049 | 7.19 | 1000 | 0.1223 | 0.9810 |
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- | 0.0043 | 7.91 | 1100 | 0.1077 | 0.9837 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: bert-base-uncased
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # haspeech_ita
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0790
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+ - Accuracy: 0.9864
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.6234 | 0.72 | 100 | 0.5780 | 0.7154 |
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+ | 0.5659 | 1.44 | 200 | 0.4837 | 0.7561 |
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+ | 0.3889 | 2.16 | 300 | 0.3320 | 0.8699 |
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+ | 0.2578 | 2.88 | 400 | 0.3299 | 0.8916 |
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+ | 0.1668 | 3.6 | 500 | 0.1727 | 0.9512 |
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+ | 0.0941 | 4.32 | 600 | 0.2214 | 0.9485 |
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+ | 0.0698 | 5.04 | 700 | 0.0750 | 0.9864 |
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+ | 0.0305 | 5.76 | 800 | 0.0386 | 0.9919 |
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+ | 0.0145 | 6.47 | 900 | 0.1088 | 0.9783 |
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+ | 0.0094 | 7.19 | 1000 | 0.0591 | 0.9892 |
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+ | 0.0014 | 7.91 | 1100 | 0.0790 | 0.9864 |
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  ### Framework versions
config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "bert-base-cased",
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  "architectures": [
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@@ -23,5 +23,5 @@
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- "vocab_size": 28996
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  }
 
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  {
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+ "_name_or_path": "bert-base-uncased",
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  "architectures": [
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  "BertForSequenceClassification"
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  ],
 
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  "transformers_version": "4.35.2",
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  "type_vocab_size": 2,
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tokenizer_config.json CHANGED
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