Upload EuroBertForSequenceClassification

README.md

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+---
+library_name: transformers
+tags: []
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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+[More Information Needed]
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+### Downstream Use [optional]
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+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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+[More Information Needed]
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+### Out-of-Scope Use
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+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
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+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
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+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
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+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
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+[More Information Needed]
+
+### Compute Infrastructure
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+[More Information Needed]
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+#### Hardware
+
+[More Information Needed]
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+#### Software
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+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
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+[More Information Needed]
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+**APA:**
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+[More Information Needed]
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+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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+[More Information Needed]
+
+## More Information [optional]
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+[More Information Needed]
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+## Model Card Authors [optional]
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+[More Information Needed]
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+## Model Card Contact
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+[More Information Needed]

config.json

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+{
+  "_name_or_path": "EuroBERT/EuroBERT-210m",
+  "architectures": [
+    "EuroBertForSequenceClassification"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "EuroBERT/EuroBERT-210m--configuration_eurobert.EuroBertConfig",
+    "AutoModel": "EuroBERT/EuroBERT-210m--modeling_eurobert.EuroBertModel",
+    "AutoModelForMaskedLM": "EuroBERT/EuroBERT-210m--modeling_eurobert.EuroBertForMaskedLM",
+    "AutoModelForPreTraining": "EuroBERT/EuroBERT-210m--modeling_eurobert.EuroBertPreTrainedModel",
+    "AutoModelForSequenceClassification": "EuroBERT/EuroBERT-210m--modeling_eurobert.EuroBertForSequenceClassification"
+  },
+  "bos_token": "<|begin_of_text|>",
+  "bos_token_id": 128000,
+  "clf_pooling": "late",
+  "eos_token": "<|end_of_text|>",
+  "eos_token_id": 128001,
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_dropout": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "inshe",
+    "1": "ekologiya",
+    "2": "ziemielnie_pravo",
+    "3": "reklama",
+    "4": "bankivska_diialnist",
+    "5": "prava_spozhivachiv",
+    "6": "medicina",
+    "7": "spadkove_pravo",
+    "8": "immighratsiia_iemighratsiia",
+    "9": "intieliektualna_vlasnist",
+    "10": "gospodarskie_pravo",
+    "11": "pidpriemnicka_dialnist",
+    "12": "opodatkuvannia",
+    "13": "piensiiata_sotsialni_viplati",
+    "14": "viiskovie_pravo",
+    "15": "sudova_praktika",
+    "16": "kriminalnie_pravo",
+    "17": "gromadianski_pravovidnosini",
+    "18": "strakhuvannya",
+    "19": "pratsevlashtuvvannya",
+    "20": "sotsialnyj_zakhist",
+    "21": "vighotovliennia_produktsiyi_ta_nadannia_poslugh",
+    "22": "litsienzuvannia",
+    "23": "reyestraciya_likvidaciya_bankrutstvo",
+    "24": "doghovirni_vidnosini",
+    "25": "administrativnie_pravo",
+    "26": "nierukhomist",
+    "27": "prava_vnutrishno_pieriemishchienikh_osib",
+    "28": "investitsii",
+    "29": "notarialni_pytanniia",
+    "30": "avtovlasnykam",
+    "31": "zhitlovi_pravovidnosini",
+    "32": "dovircha_vlastnist",
+    "33": "dierzhavni_zakupivli",
+    "34": "simejne_pravo",
+    "35": "mytne_pravo",
+    "36": "mizhnarodni_pravovidnosini",
+    "37": "korporativnie_pravo",
+    "38": "tsivilne_pravo"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "administrativnie_pravo": 25,
+    "avtovlasnykam": 30,
+    "bankivska_diialnist": 4,
+    "dierzhavni_zakupivli": 33,
+    "doghovirni_vidnosini": 24,
+    "dovircha_vlastnist": 32,
+    "ekologiya": 1,
+    "gospodarskie_pravo": 10,
+    "gromadianski_pravovidnosini": 17,
+    "immighratsiia_iemighratsiia": 8,
+    "inshe": 0,
+    "intieliektualna_vlasnist": 9,
+    "investitsii": 28,
+    "korporativnie_pravo": 37,
+    "kriminalnie_pravo": 16,
+    "litsienzuvannia": 22,
+    "medicina": 6,
+    "mizhnarodni_pravovidnosini": 36,
+    "mytne_pravo": 35,
+    "nierukhomist": 26,
+    "notarialni_pytanniia": 29,
+    "opodatkuvannia": 12,
+    "pidpriemnicka_dialnist": 11,
+    "piensiiata_sotsialni_viplati": 13,
+    "pratsevlashtuvvannya": 19,
+    "prava_spozhivachiv": 5,
+    "prava_vnutrishno_pieriemishchienikh_osib": 27,
+    "reklama": 3,
+    "reyestraciya_likvidaciya_bankrutstvo": 23,
+    "simejne_pravo": 34,
+    "sotsialnyj_zakhist": 20,
+    "spadkove_pravo": 7,
+    "strakhuvannya": 18,
+    "sudova_praktika": 15,
+    "tsivilne_pravo": 38,
+    "vighotovliennia_produktsiyi_ta_nadannia_poslugh": 21,
+    "viiskovie_pravo": 14,
+    "zhitlovi_pravovidnosini": 31,
+    "ziemielnie_pravo": 2
+  },
+  "mask_token": "<|mask|>",
+  "mask_token_id": 128002,
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "model_type": "eurobert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "num_key_value_heads": 12,
+  "pad_token": "<|end_of_text|>",
+  "pad_token_id": 128001,
+  "pretraining_tp": 1,
+  "problem_type": "single_label_classification",
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 250000,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.49.0",
+  "use_cache": false,
+  "vocab_size": 128256
+}

model.safetensors

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+oid sha256:720a0eead32391516263f8d6fca05d7fc31f2c1557b3376607471ed0aa87bedc
+size 849558948