Commit From AutoTrain
Browse files- .gitattributes +2 -0
- README.md +46 -0
- config.json +36 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +14 -0
- vocab.txt +0 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.bin.* filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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tags: autotrain
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language: en
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widget:
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- text: "I love AutoTrain 🤗"
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datasets:
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- ameerazam08/autotrain-data-imdb
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co2_eq_emissions: 0.07308302140406821
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---
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# Model Trained Using AutoTrain
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- Problem type: Binary Classification
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- Model ID: 1166543171
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- CO2 Emissions (in grams): 0.07308302140406821
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## Validation Metrics
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- Loss: 0.2211569994688034
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- Accuracy: 0.9138
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- Precision: 0.9020598523124758
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- Recall: 0.9284
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- AUC: 0.9711116000000001
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- F1: 0.9150404100137985
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## Usage
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You can use cURL to access this model:
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```
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$ 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/ameerazam08/autotrain-imdb-1166543171
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```
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Or Python API:
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```
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from transformers import AutoModelForSequenceClassification, AutoTokenizer
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model = AutoModelForSequenceClassification.from_pretrained("ameerazam08/autotrain-imdb-1166543171", use_auth_token=True)
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tokenizer = AutoTokenizer.from_pretrained("ameerazam08/autotrain-imdb-1166543171", use_auth_token=True)
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inputs = tokenizer("I love AutoTrain", return_tensors="pt")
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outputs = model(**inputs)
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```
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config.json
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{
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"_name_or_path": "AutoTrain",
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"_num_labels": 2,
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"activation": "gelu",
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"architectures": [
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"DistilBertForSequenceClassification"
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],
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"attention_dropout": 0.1,
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"dim": 768,
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"dropout": 0.1,
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"hidden_dim": 3072,
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"id2label": {
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"0": "neg",
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"1": "pos"
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},
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"initializer_range": 0.02,
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"label2id": {
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"neg": 0,
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"pos": 1
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},
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"max_length": 512,
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"n_heads": 12,
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"n_layers": 6,
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"pad_token_id": 0,
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"padding": "max_length",
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"problem_type": "single_label_classification",
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.20.0",
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"vocab_size": 30522
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:4724ecbf2025ab57d2dab56630844a7bebf74a1d76660087f52331920fd3acc9
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size 267854321
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"cls_token": "[CLS]",
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"name_or_path": "AutoTrain",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"special_tokens_map_file": null,
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "DistilBertTokenizer",
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"unk_token": "[UNK]"
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}
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vocab.txt
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