[model_cards] Update Italian BERT models and introduce new Italian XX…

model_cards/dbmdz/bert-base-italian-cased/README.md

@@ -1,12 +1,14 @@
 ---
 language: it
 license: mit
+datasets:
+- wikipedia
 ---
 
-# 🤗 + 📚 dbmdz BERT models
+# 🤗 + 📚 dbmdz BERT and ELECTRA models
 
 In this repository the MDZ Digital Library team (dbmdz) at the Bavarian State
-Library open sources Italian BERT models 🎉
+Library open sources Italian BERT and ELECTRA models 🎉
 
 # Italian BERT
 
@@ -22,23 +24,35 @@ For the XXL Italian models, we use the same training data from OPUS and extend
 it with data from the Italian part of the [OSCAR corpus](https://traces1.inria.fr/oscar/).
 Thus, the final training corpus has a size of 81GB and 13,138,379,147 tokens.
 
+Note: Unfortunately, a wrong vocab size was used when training the XXL models.
+This explains the mismatch of the "real" vocab size of 31102, compared to the
+vocab size specified in `config.json`. However, the model is working and all
+evaluations were done under those circumstances.
+See [this issue](https://github.com/dbmdz/berts/issues/7) for more information.
+
+The Italian ELECTRA model was trained on the "XXL" corpus for 1M steps in total using a batch
+size of 128. We pretty much following the ELECTRA training procedure as used for
+[BERTurk](https://github.com/stefan-it/turkish-bert/tree/master/electra).
+
 ## Model weights
 
 Currently only PyTorch-[Transformers](https://github.com/huggingface/transformers)
 compatible weights are available. If you need access to TensorFlow checkpoints,
 please raise an issue!
 
-| Model                                   | Downloads
-| --------------------------------------- | ---------------------------------------------------------------------------------------------------------------
-| `dbmdz/bert-base-italian-cased`         | [`config.json`](https://cdn.huggingface.co/dbmdz/bert-base-italian-cased/config.json)       • [`pytorch_model.bin`](https://cdn.huggingface.co/dbmdz/bert-base-italian-cased/pytorch_model.bin)       • [`vocab.txt`](https://cdn.huggingface.co/dbmdz/bert-base-italian-cased/vocab.txt)
-| `dbmdz/bert-base-italian-uncased`       | [`config.json`](https://cdn.huggingface.co/dbmdz/bert-base-italian-uncased/config.json)     • [`pytorch_model.bin`](https://cdn.huggingface.co/dbmdz/bert-base-italian-uncased/pytorch_model.bin)     • [`vocab.txt`](https://cdn.huggingface.co/dbmdz/bert-base-italian-uncased/vocab.txt)
-| `dbmdz/bert-base-italian-xxl-cased`     | [`config.json`](https://cdn.huggingface.co/dbmdz/bert-base-italian-xxl-cased/config.json)   • [`pytorch_model.bin`](https://cdn.huggingface.co/dbmdz/bert-base-italian-xxl-cased/pytorch_model.bin)   • [`vocab.txt`](https://cdn.huggingface.co/dbmdz/bert-base-italian-xxl-cased/vocab.txt)
-| `dbmdz/bert-base-italian-xxl-uncased`   | [`config.json`](https://cdn.huggingface.co/dbmdz/bert-base-italian-xxl-uncased/config.json) • [`pytorch_model.bin`](https://cdn.huggingface.co/dbmdz/bert-base-italian-xxl-uncased/pytorch_model.bin) • [`vocab.txt`](https://cdn.huggingface.co/dbmdz/bert-base-italian-xxl-uncased/vocab.txt)
+| Model                                                | Downloads
+| ---------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------
+| `dbmdz/bert-base-italian-cased`                      | [`config.json`](https://cdn.huggingface.co/dbmdz/bert-base-italian-cased/config.json)                                               • [`pytorch_model.bin`](https://cdn.huggingface.co/dbmdz/bert-base-italian-cased/pytorch_model.bin)                      • [`vocab.txt`](https://cdn.huggingface.co/dbmdz/bert-base-italian-cased/vocab.txt)
+| `dbmdz/bert-base-italian-uncased`                    | [`config.json`](https://cdn.huggingface.co/dbmdz/bert-base-italian-uncased/config.json)                                             • [`pytorch_model.bin`](https://cdn.huggingface.co/dbmdz/bert-base-italian-uncased/pytorch_model.bin)                    • [`vocab.txt`](https://cdn.huggingface.co/dbmdz/bert-base-italian-uncased/vocab.txt)
+| `dbmdz/bert-base-italian-xxl-cased`                  | [`config.json`](https://cdn.huggingface.co/dbmdz/bert-base-italian-xxl-cased/config.json)                                           • [`pytorch_model.bin`](https://cdn.huggingface.co/dbmdz/bert-base-italian-xxl-cased/pytorch_model.bin)                  • [`vocab.txt`](https://cdn.huggingface.co/dbmdz/bert-base-italian-xxl-cased/vocab.txt)
+| `dbmdz/bert-base-italian-xxl-uncased`                | [`config.json`](https://cdn.huggingface.co/dbmdz/bert-base-italian-xxl-uncased/config.json)                                         • [`pytorch_model.bin`](https://cdn.huggingface.co/dbmdz/bert-base-italian-xxl-uncased/pytorch_model.bin)                • [`vocab.txt`](https://cdn.huggingface.co/dbmdz/bert-base-italian-xxl-uncased/vocab.txt)
+| `dbmdz/electra-base-italian-xxl-cased-discriminator` | [`config.json`](https://s3.amazonaws.com/models.huggingface.co/bert/dbmdz/electra-base-italian-xxl-cased-discriminator/config.json) • [`pytorch_model.bin`](https://cdn.huggingface.co/dbmdz/electra-base-italian-xxl-cased-discriminator/pytorch_model.bin) • [`vocab.txt`](https://cdn.huggingface.co/dbmdz/electra-base-italian-xxl-cased-discriminator/vocab.txt)
+| `dbmdz/electra-base-italian-xxl-cased-generator`     | [`config.json`](https://s3.amazonaws.com/models.huggingface.co/bert/dbmdz/electra-base-italian-xxl-cased-generator/config.json)     • [`pytorch_model.bin`](https://cdn.huggingface.co/dbmdz/electra-base-italian-xxl-cased-generator/pytorch_model.bin)     • [`vocab.txt`](https://cdn.huggingface.co/dbmdz/electra-base-italian-xxl-cased-generator/vocab.txt)
 
 ## Results
 
 For results on downstream tasks like NER or PoS tagging, please refer to
-[this repository](https://github.com/stefan-it/fine-tuned-berts-seq).
+[this repository](https://github.com/stefan-it/italian-bertelectra).
 
 ## Usage
 
@@ -47,17 +61,35 @@ With Transformers >= 2.3 our Italian BERT models can be loaded like:
 ```python
 from transformers import AutoModel, AutoTokenizer
 
-tokenizer = AutoTokenizer.from_pretrained("dbmdz/bert-base-italian-cased")
-model = AutoModel.from_pretrained("dbmdz/bert-base-italian-cased")
+model_name = "dbmdz/bert-base-italian-cased"
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+model = AutoModel.from_pretrained(model_name)
 ```
 
 To load the (recommended) Italian XXL BERT models, just use:
 
 ```python
 from transformers import AutoModel, AutoTokenizer
 
-tokenizer = AutoTokenizer.from_pretrained("dbmdz/bert-base-italian-xxl-cased")
-model = AutoModel.from_pretrained("dbmdz/bert-base-italian-xxl-cased")
+model_name = "dbmdz/bert-base-italian-xxl-cased"
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+model = AutoModel.from_pretrained(model_name)
+```
+
+To load the Italian XXL ELECTRA model (discriminator), just use:
+
+```python
+from transformers import AutoModel, AutoTokenizer
+
+model_name = "dbmdz/electra-base-italian-xxl-cased-discriminator"
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+model = AutoModelWithLMHead.from_pretrained(model_name)
 ```
 
 # Huggingface model hub
@@ -66,7 +98,7 @@ All models are available on the [Huggingface model hub](https://huggingface.co/d
 
 # Contact (Bugs, Feedback, Contribution and more)
 
-For questions about our BERT models just open an issue
+For questions about our BERT/ELECTRA models just open an issue
 [here](https://github.com/dbmdz/berts/issues/new) 🤗
 
 # Acknowledgments

model_cards/dbmdz/bert-base-italian-uncased/README.md

@@ -1,12 +1,14 @@
 ---
 language: it
 license: mit
+datasets:
+- wikipedia
 ---
 
-# 🤗 + 📚 dbmdz BERT models
+# 🤗 + 📚 dbmdz BERT and ELECTRA models
 
 In this repository the MDZ Digital Library team (dbmdz) at the Bavarian State
-Library open sources Italian BERT models 🎉
+Library open sources Italian BERT and ELECTRA models 🎉
 
 # Italian BERT
 
@@ -22,23 +24,35 @@ For the XXL Italian models, we use the same training data from OPUS and extend
 it with data from the Italian part of the [OSCAR corpus](https://traces1.inria.fr/oscar/).
 Thus, the final training corpus has a size of 81GB and 13,138,379,147 tokens.
 
+Note: Unfortunately, a wrong vocab size was used when training the XXL models.
+This explains the mismatch of the "real" vocab size of 31102, compared to the
+vocab size specified in `config.json`. However, the model is working and all
+evaluations were done under those circumstances.
+See [this issue](https://github.com/dbmdz/berts/issues/7) for more information.
+
+The Italian ELECTRA model was trained on the "XXL" corpus for 1M steps in total using a batch
+size of 128. We pretty much following the ELECTRA training procedure as used for
+[BERTurk](https://github.com/stefan-it/turkish-bert/tree/master/electra).
+
 ## Model weights
 
 Currently only PyTorch-[Transformers](https://github.com/huggingface/transformers)
 compatible weights are available. If you need access to TensorFlow checkpoints,
 please raise an issue!
 
-| Model                                   | Downloads
-| --------------------------------------- | ---------------------------------------------------------------------------------------------------------------
-| `dbmdz/bert-base-italian-cased`         | [`config.json`](https://cdn.huggingface.co/dbmdz/bert-base-italian-cased/config.json)       • [`pytorch_model.bin`](https://cdn.huggingface.co/dbmdz/bert-base-italian-cased/pytorch_model.bin)       • [`vocab.txt`](https://cdn.huggingface.co/dbmdz/bert-base-italian-cased/vocab.txt)
-| `dbmdz/bert-base-italian-uncased`       | [`config.json`](https://cdn.huggingface.co/dbmdz/bert-base-italian-uncased/config.json)     • [`pytorch_model.bin`](https://cdn.huggingface.co/dbmdz/bert-base-italian-uncased/pytorch_model.bin)     • [`vocab.txt`](https://cdn.huggingface.co/dbmdz/bert-base-italian-uncased/vocab.txt)
-| `dbmdz/bert-base-italian-xxl-cased`     | [`config.json`](https://cdn.huggingface.co/dbmdz/bert-base-italian-xxl-cased/config.json)   • [`pytorch_model.bin`](https://cdn.huggingface.co/dbmdz/bert-base-italian-xxl-cased/pytorch_model.bin)   • [`vocab.txt`](https://cdn.huggingface.co/dbmdz/bert-base-italian-xxl-cased/vocab.txt)
-| `dbmdz/bert-base-italian-xxl-uncased`   | [`config.json`](https://cdn.huggingface.co/dbmdz/bert-base-italian-xxl-uncased/config.json) • [`pytorch_model.bin`](https://cdn.huggingface.co/dbmdz/bert-base-italian-xxl-uncased/pytorch_model.bin) • [`vocab.txt`](https://cdn.huggingface.co/dbmdz/bert-base-italian-xxl-uncased/vocab.txt)
+| Model                                                | Downloads
+| ---------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------
+| `dbmdz/bert-base-italian-cased`                      | [`config.json`](https://cdn.huggingface.co/dbmdz/bert-base-italian-cased/config.json)                                               • [`pytorch_model.bin`](https://cdn.huggingface.co/dbmdz/bert-base-italian-cased/pytorch_model.bin)                      • [`vocab.txt`](https://cdn.huggingface.co/dbmdz/bert-base-italian-cased/vocab.txt)
+| `dbmdz/bert-base-italian-uncased`                    | [`config.json`](https://cdn.huggingface.co/dbmdz/bert-base-italian-uncased/config.json)                                             • [`pytorch_model.bin`](https://cdn.huggingface.co/dbmdz/bert-base-italian-uncased/pytorch_model.bin)                    • [`vocab.txt`](https://cdn.huggingface.co/dbmdz/bert-base-italian-uncased/vocab.txt)
+| `dbmdz/bert-base-italian-xxl-cased`                  | [`config.json`](https://cdn.huggingface.co/dbmdz/bert-base-italian-xxl-cased/config.json)                                           • [`pytorch_model.bin`](https://cdn.huggingface.co/dbmdz/bert-base-italian-xxl-cased/pytorch_model.bin)                  • [`vocab.txt`](https://cdn.huggingface.co/dbmdz/bert-base-italian-xxl-cased/vocab.txt)
+| `dbmdz/bert-base-italian-xxl-uncased`                | [`config.json`](https://cdn.huggingface.co/dbmdz/bert-base-italian-xxl-uncased/config.json)                                         • [`pytorch_model.bin`](https://cdn.huggingface.co/dbmdz/bert-base-italian-xxl-uncased/pytorch_model.bin)                • [`vocab.txt`](https://cdn.huggingface.co/dbmdz/bert-base-italian-xxl-uncased/vocab.txt)
+| `dbmdz/electra-base-italian-xxl-cased-discriminator` | [`config.json`](https://s3.amazonaws.com/models.huggingface.co/bert/dbmdz/electra-base-italian-xxl-cased-discriminator/config.json) • [`pytorch_model.bin`](https://cdn.huggingface.co/dbmdz/electra-base-italian-xxl-cased-discriminator/pytorch_model.bin) • [`vocab.txt`](https://cdn.huggingface.co/dbmdz/electra-base-italian-xxl-cased-discriminator/vocab.txt)
+| `dbmdz/electra-base-italian-xxl-cased-generator`     | [`config.json`](https://s3.amazonaws.com/models.huggingface.co/bert/dbmdz/electra-base-italian-xxl-cased-generator/config.json)     • [`pytorch_model.bin`](https://cdn.huggingface.co/dbmdz/electra-base-italian-xxl-cased-generator/pytorch_model.bin)     • [`vocab.txt`](https://cdn.huggingface.co/dbmdz/electra-base-italian-xxl-cased-generator/vocab.txt)
 
 ## Results
 
 For results on downstream tasks like NER or PoS tagging, please refer to
-[this repository](https://github.com/stefan-it/fine-tuned-berts-seq).
+[this repository](https://github.com/stefan-it/italian-bertelectra).
 
 ## Usage
 
@@ -47,17 +61,35 @@ With Transformers >= 2.3 our Italian BERT models can be loaded like:
 ```python
 from transformers import AutoModel, AutoTokenizer
 
-tokenizer = AutoTokenizer.from_pretrained("dbmdz/bert-base-italian-cased")
-model = AutoModel.from_pretrained("dbmdz/bert-base-italian-cased")
+model_name = "dbmdz/bert-base-italian-cased"
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+model = AutoModel.from_pretrained(model_name)
 ```
 
 To load the (recommended) Italian XXL BERT models, just use:
 
 ```python
 from transformers import AutoModel, AutoTokenizer
 
-tokenizer = AutoTokenizer.from_pretrained("dbmdz/bert-base-italian-xxl-cased")
-model = AutoModel.from_pretrained("dbmdz/bert-base-italian-xxl-cased")
+model_name = "dbmdz/bert-base-italian-xxl-cased"
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+model = AutoModel.from_pretrained(model_name)
+```
+
+To load the Italian XXL ELECTRA model (discriminator), just use:
+
+```python
+from transformers import AutoModel, AutoTokenizer
+
+model_name = "dbmdz/electra-base-italian-xxl-cased-discriminator"
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+model = AutoModelWithLMHead.from_pretrained(model_name)
 ```
 
 # Huggingface model hub
@@ -66,7 +98,7 @@ All models are available on the [Huggingface model hub](https://huggingface.co/d
 
 # Contact (Bugs, Feedback, Contribution and more)
 
-For questions about our BERT models just open an issue
+For questions about our BERT/ELECTRA models just open an issue
 [here](https://github.com/dbmdz/berts/issues/new) 🤗
 
 # Acknowledgments