Commit From AutoTrain

.gitattributes

@@ -32,3 +32,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.tar.gz filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,56 @@
+---
+tags:
+- autotrain
+- text-classification
+language:
+- en
+widget:
+- text: "I love AutoTrain 🤗"
+datasets:
+- reachosen/autotrain-data-sdohv7
+co2_eq_emissions:
+  emissions: 0.01134763220649804
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 3701198597
+- CO2 Emissions (in grams): 0.0113
+
+## Validation Metrics
+
+- Loss: 0.057
+- Accuracy: 0.990
+- Macro F1: 0.990
+- Micro F1: 0.990
+- Weighted F1: 0.990
+- Macro Precision: 0.990
+- Micro Precision: 0.990
+- Weighted Precision: 0.991
+- Macro Recall: 0.990
+- Micro Recall: 0.990
+- Weighted Recall: 0.990
+
+
+## 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 AutoTrain"}' https://api-inference.huggingface.co/models/reachosen/autotrain-sdohv7-3701198597
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("reachosen/autotrain-sdohv7-3701198597", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("reachosen/autotrain-sdohv7-3701198597", use_auth_token=True)
+
+inputs = tokenizer("I love AutoTrain", return_tensors="pt")
+
+outputs = model(**inputs)
+```

added_tokens.json

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+{
+  "[MASK]": 128000
+}

config.json

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+{
+  "_name_or_path": "AutoTrain",
+  "_num_labels": 23,
+  "architectures": [
+    "DebertaV2ForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Access to Care",
+    "1": "Access to Care Contradiction",
+    "2": "Depression",
+    "3": "Depression Contradiction",
+    "4": "Economic Instability",
+    "5": "Economic Instability Contradiction",
+    "6": "Employment Stress",
+    "7": "Employment Stress Contradiction",
+    "8": "Exposure to Violence",
+    "9": "Exposure to Violence Contradiction",
+    "10": "Food Insecurity ",
+    "11": "Food Insecurity Contradiction",
+    "12": "Housing Instability",
+    "13": "Housing Instability Contradiction",
+    "14": "Limited Language (English) Proficiency",
+    "15": "Limited Language Proficiency Contradiction",
+    "16": "Neutral",
+    "17": "Social Context",
+    "18": "Social Context Contradiction",
+    "19": "Substance Abuse",
+    "20": "Substance Abuse Contradiction",
+    "21": "Transportation",
+    "22": "Transportation Contradiction"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Access to Care": 0,
+    "Access to Care Contradiction": 1,
+    "Depression": 2,
+    "Depression Contradiction": 3,
+    "Economic Instability": 4,
+    "Economic Instability Contradiction": 5,
+    "Employment Stress": 6,
+    "Employment Stress Contradiction": 7,
+    "Exposure to Violence": 8,
+    "Exposure to Violence Contradiction": 9,
+    "Food Insecurity ": 10,
+    "Food Insecurity Contradiction": 11,
+    "Housing Instability": 12,
+    "Housing Instability Contradiction": 13,
+    "Limited Language (English) Proficiency": 14,
+    "Limited Language Proficiency Contradiction": 15,
+    "Neutral": 16,
+    "Social Context": 17,
+    "Social Context Contradiction": 18,
+    "Substance Abuse": 19,
+    "Substance Abuse Contradiction": 20,
+    "Transportation": 21,
+    "Transportation Contradiction": 22
+  },
+  "layer_norm_eps": 1e-07,
+  "max_length": 64,
+  "max_position_embeddings": 512,
+  "max_relative_positions": -1,
+  "model_type": "deberta-v2",
+  "norm_rel_ebd": "layer_norm",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "padding": "max_length",
+  "pooler_dropout": 0,
+  "pooler_hidden_act": "gelu",
+  "pooler_hidden_size": 768,
+  "pos_att_type": [
+    "p2c",
+    "c2p"
+  ],
+  "position_biased_input": false,
+  "position_buckets": 256,
+  "relative_attention": true,
+  "share_att_key": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.25.1",
+  "type_vocab_size": 0,
+  "vocab_size": 128100
+}

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special_tokens_map.json

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tokenizer_config.json

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+  "tokenizer_class": "DebertaV2Tokenizer",
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+  "vocab_type": "spm"
+}