Commit From AutoNLP

README.md

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+---
+tags: autonlp
+language: es
+widget:
+- text: "I love AutoNLP 🤗"
+datasets:
+- hectorcotelo/autonlp-data-spanish_songs
+---
+
+# Model Trained Using AutoNLP
+
+- Problem type: Multi-class Classification
+- Model ID: 202661
+
+## Validation Metrics
+
+- Loss: 1.5369086265563965
+- Accuracy: 0.30762817840766987
+- Macro F1: 0.28034259092597485
+- Micro F1: 0.30762817840766987
+- Weighted F1: 0.28072818168048186
+- Macro Precision: 0.3113843896292072
+- Micro Precision: 0.30762817840766987
+- Weighted Precision: 0.3128459166476807
+- Macro Recall: 0.3071652685939504
+- Micro Recall: 0.30762817840766987
+- Weighted Recall: 0.30762817840766987
+
+
+## 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/hectorcotelo/autonlp-spanish_songs-202661
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("hectorcotelo/autonlp-spanish_songs-202661", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("hectorcotelo/autonlp-spanish_songs-202661", 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": 5,
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "average",
+    "1": "bad",
+    "2": "good",
+    "3": "hit",
+    "4": "worst"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "average": 0,
+    "bad": 1,
+    "good": 2,
+    "hit": 3,
+    "worst": 4
+  },
+  "layer_norm_eps": 1e-12,
+  "max_length": 384,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "padding": "max_length",
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.5.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 31002
+}

pytorch_model.bin

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+oid sha256:18d552cc655bfb48ecb565ba24c92529a970c5fd54fbf2415ba7b1646c8feb0c
+size 439508233

sample_input.pkl

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+size 10534

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": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": false, "do_basic_tokenize": true, "never_split": null, "model_max_length": 512, "special_tokens_map_file": "/root/.cache/huggingface/transformers/78141ed1e8dcc5ff370950397ca0d1c5c9da478f54ec14544187d8a93eff1a26.f982506b52498d4adb4bd491f593dc92b2ef6be61bfdbe9d30f53f963f9f5b66", "name_or_path": "AutoNLP"}