Upload 12 files
Browse files- README.md +60 -1
- all_results.json +17 -0
- config.json +48 -0
- eval_results.json +12 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +15 -0
- train_results.json +8 -0
- trainer_state.json +127 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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-
license:
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---
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---
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license: mit
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: ner-bert-mini-conll2003
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# ner-bert-mini-conll2003
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This model is a fine-tuned version of [prajjwal1/bert-mini](https://huggingface.co/prajjwal1/bert-mini) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1007
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- Precision: 0.8743
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- Recall: 0.8993
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- F1: 0.8866
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- Accuracy: 0.9745
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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### Framework versions
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- Transformers 4.27.4
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- Pytorch 1.13.1+cu117
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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all_results.json
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{
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"epoch": 5.0,
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"eval_accuracy": 0.97453909726637,
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"eval_f1": 0.8866201859229748,
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"eval_loss": 0.10066453367471695,
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"eval_precision": 0.874283843509576,
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"eval_recall": 0.8993096480889039,
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"eval_runtime": 3.335,
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"eval_samples": 3250,
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"eval_samples_per_second": 974.504,
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"eval_steps_per_second": 122.038,
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"train_loss": 0.09602124729026151,
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"train_runtime": 167.8929,
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"train_samples": 14041,
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"train_samples_per_second": 418.153,
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"train_steps_per_second": 52.295
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}
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config.json
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{
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"_name_or_path": "prajjwal1/bert-mini",
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"architectures": [
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"BertForTokenClassification"
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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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"finetuning_task": "ner",
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 256,
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"id2label": {
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"0": "O",
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"1": "B-PER",
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"2": "I-PER",
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"3": "B-ORG",
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"4": "I-ORG",
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"5": "B-LOC",
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"6": "I-LOC",
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"7": "B-MISC",
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"8": "I-MISC"
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},
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"initializer_range": 0.02,
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"intermediate_size": 1024,
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"label2id": {
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"B-LOC": 5,
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"B-MISC": 7,
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"B-ORG": 3,
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"B-PER": 1,
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"I-LOC": 6,
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"I-MISC": 8,
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"I-ORG": 4,
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"I-PER": 2,
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"O": 0
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},
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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": 4,
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"num_hidden_layers": 4,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.27.4",
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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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eval_results.json
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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:d52013ba7b2fb5c53063af48d3ed8ff033380d78ac52cac960e1ac9a704d5711
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size 44456585
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special_tokens_map.json
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tokenizer.json
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tokenizer_config.json
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train_results.json
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trainer_state.json
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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:d071c90bfa11743c96d026f25e28150fffeade69820d56bff1215f9ddbb9abe9
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3 |
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size 3579
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vocab.txt
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