Commit From AutoTrain
Browse files- .gitattributes +2 -0
- README.md +52 -0
- config.json +42 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- sample_input.pkl +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- vocab.json +0 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.tar.gz filter=lfs diff=lfs merge=lfs -text
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*.pkl 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: unk
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widget:
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- text: "I love AutoTrain 🤗"
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datasets:
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- js3078/autotrain-data-BerTweet
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co2_eq_emissions: 4.093939667345746
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---
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# Model Trained Using AutoTrain
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- Problem type: Multi-class Classification
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- Model ID: 749522913
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- CO2 Emissions (in grams): 4.093939667345746
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## Validation Metrics
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- Loss: 0.6473096609115601
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- Accuracy: 0.75
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- Macro F1: 0.7506205181665155
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- Micro F1: 0.75
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- Weighted F1: 0.7506205181665155
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- Macro Precision: 0.7555096418732782
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- Micro Precision: 0.75
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- Weighted Precision: 0.7555096418732782
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- Macro Recall: 0.75
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- Micro Recall: 0.75
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- Weighted Recall: 0.75
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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/js3078/autotrain-BerTweet-749522913
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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("js3078/autotrain-BerTweet-749522913", use_auth_token=True)
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tokenizer = AutoTokenizer.from_pretrained("js3078/autotrain-BerTweet-749522913", 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": 3,
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"architectures": [
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"RobertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 1024,
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"id2label": {
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"0": "1",
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"1": "2",
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"2": "3"
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},
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"label2id": {
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"1": 0,
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"2": 1,
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"3": 2
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},
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"layer_norm_eps": 1e-05,
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"max_length": 128,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"pad_token_id": 1,
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"padding": "max_length",
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.15.0",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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}
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merges.txt
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:9bcd357b695aec19ff0706ef6a0a029377a11d818c2dfa7861437eca64579b50
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size 1421615405
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sample_input.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:6582e2e5f1773dd153fda9082ad5da93b7a2c266d740e65695574da495315762
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size 3058
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special_tokens_map.json
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{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}
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tokenizer.json
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tokenizer_config.json
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{"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "trim_offsets": true, "special_tokens_map_file": null, "name_or_path": "AutoTrain", "tokenizer_class": "RobertaTokenizer"}
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vocab.json
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