Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Sejan/bert-finetuned-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sejan/bert-finetuned-mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sejan/bert-finetuned-mrpc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sejan/bert-finetuned-mrpc") model = AutoModelForSequenceClassification.from_pretrained("Sejan/bert-finetuned-mrpc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- .gitignore +1 -0
- config.json +27 -0
- pytorch_model.bin +3 -0
- runs/May23_12-19-57_df8141c32613/1684844406.8142548/events.out.tfevents.1684844406.df8141c32613.253.1 +3 -0
- runs/May23_12-19-57_df8141c32613/events.out.tfevents.1684844406.df8141c32613.253.0 +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +13 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
.gitignore
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checkpoint-*/
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config.json
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{
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"_name_or_path": "bert-base-uncased",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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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": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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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": "4.28.0",
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"type_vocab_size": 2,
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"use_cache": true,
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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 sha256:6d20c80ddfa17a63ce53f497ec3893a31ee638fe6888dcb3cac31c5b689d4845
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size 438007925
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runs/May23_12-19-57_df8141c32613/1684844406.8142548/events.out.tfevents.1684844406.df8141c32613.253.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:cdabc203def7a711d7754b94aa97db166e4e385e82940b1a66cde2ddcfb06f4d
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size 5873
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runs/May23_12-19-57_df8141c32613/events.out.tfevents.1684844406.df8141c32613.253.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:e3cd18d71ec161488a591a7436a9aa87e00386b737f71e0ff6aa8c9457298efe
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size 88
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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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"clean_up_tokenization_spaces": true,
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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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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e3a8cdc0e0b08d0919e2a55d55ab5856e5ed80600791ca6cd3480df56df7cafc
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size 3643
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vocab.txt
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