Commit From AutoNLP

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
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+*.tar.gz filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+tags: autonlp
+language: unk
+widget:
+- text: "I love AutoNLP 🤗"
+datasets:
+- alvp/autonlp-data-alberti-stanza-names
+co2_eq_emissions: 8.612473981829835
+---
+
+# Model Trained Using AutoNLP
+
+- Problem type: Multi-class Classification
+- Model ID: 34318169
+- CO2 Emissions (in grams): 8.612473981829835
+
+## Validation Metrics
+
+- Loss: 1.3520570993423462
+- Accuracy: 0.6083916083916084
+- Macro F1: 0.5420169617715481
+- Micro F1: 0.6083916083916084
+- Weighted F1: 0.5963328136975058
+- Macro Precision: 0.5864033493660455
+- Micro Precision: 0.6083916083916084
+- Weighted Precision: 0.6364793882921277
+- Macro Recall: 0.5545405576555766
+- Micro Recall: 0.6083916083916084
+- Weighted Recall: 0.6083916083916084
+
+
+## Usage
+
+You can use cURL to access this model:
+
+```
+$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoNLP"}' https://api-inference.huggingface.co/models/alvp/autonlp-alberti-stanza-names-34318169
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("alvp/autonlp-alberti-stanza-names-34318169", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("alvp/autonlp-alberti-stanza-names-34318169", use_auth_token=True)
+
+inputs = tokenizer("I love AutoNLP", return_tensors="pt")
+
+outputs = model(**inputs)
+```

config.json

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+{
+  "_name_or_path": "AutoNLP",
+  "_num_labels": 46,
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "directionality": "bidi",
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "cantar",
+    "1": "chamberga",
+    "2": "copla_arte_mayor",
+    "3": "copla_arte_menor",
+    "4": "copla_castellana",
+    "5": "copla_mixta",
+    "6": "copla_real",
+    "7": "couplet",
+    "8": "cuaderna_v\u00eda",
+    "9": "cuarteta",
+    "10": "cuarteto",
+    "11": "cuarteto_lira",
+    "12": "d\u00e9cima_antigua",
+    "13": "endecha_real",
+    "14": "espinela",
+    "15": "estrofa_francisco_de_la_torre",
+    "16": "estrofa_manrique\u00f1a",
+    "17": "estrofa_s\u00e1fica",
+    "18": "haiku",
+    "19": "lira",
+    "20": "novena",
+    "21": "octava",
+    "22": "octava_real",
+    "23": "octavilla",
+    "24": "ovillejo",
+    "25": "quinteto",
+    "26": "quintilla",
+    "27": "redondilla",
+    "28": "romance",
+    "29": "romance_arte_mayor",
+    "30": "seguidilla",
+    "31": "seguidilla_compuesta",
+    "32": "seguidilla_gitana",
+    "33": "septeto",
+    "34": "septilla",
+    "35": "serventesio",
+    "36": "sexta_rima",
+    "37": "sexteto",
+    "38": "sexteto_lira",
+    "39": "sextilla",
+    "40": "silva_arromanzada",
+    "41": "sole\u00e1",
+    "42": "tercetillo",
+    "43": "terceto",
+    "44": "terceto_monorrimo",
+    "45": "unknown"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "cantar": 0,
+    "chamberga": 1,
+    "copla_arte_mayor": 2,
+    "copla_arte_menor": 3,
+    "copla_castellana": 4,
+    "copla_mixta": 5,
+    "copla_real": 6,
+    "couplet": 7,
+    "cuaderna_v\u00eda": 8,
+    "cuarteta": 9,
+    "cuarteto": 10,
+    "cuarteto_lira": 11,
+    "d\u00e9cima_antigua": 12,
+    "endecha_real": 13,
+    "espinela": 14,
+    "estrofa_francisco_de_la_torre": 15,
+    "estrofa_manrique\u00f1a": 16,
+    "estrofa_s\u00e1fica": 17,
+    "haiku": 18,
+    "lira": 19,
+    "novena": 20,
+    "octava": 21,
+    "octava_real": 22,
+    "octavilla": 23,
+    "ovillejo": 24,
+    "quinteto": 25,
+    "quintilla": 26,
+    "redondilla": 27,
+    "romance": 28,
+    "romance_arte_mayor": 29,
+    "seguidilla": 30,
+    "seguidilla_compuesta": 31,
+    "seguidilla_gitana": 32,
+    "septeto": 33,
+    "septilla": 34,
+    "serventesio": 35,
+    "sexta_rima": 36,
+    "sexteto": 37,
+    "sexteto_lira": 38,
+    "sextilla": 39,
+    "silva_arromanzada": 40,
+    "sole\u00e1": 41,
+    "tercetillo": 42,
+    "terceto": 43,
+    "terceto_monorrimo": 44,
+    "unknown": 45
+  },
+  "layer_norm_eps": 1e-12,
+  "max_length": 192,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "padding": "max_length",
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "transformers_version": "4.8.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 119547
+}

pytorch_model.bin

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sample_input.pkl

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special_tokens_map.json

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+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}

tokenizer_config.json

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+{"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "AutoNLP", "tokenizer_class": "BertTokenizer"}