Commit
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Parent(s):
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End of training
Browse files- README.md +75 -0
- added_tokens.json +3 -0
- config.json +53 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +9 -0
- spm.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +20 -0
- training_args.bin +3 -0
README.md
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---
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license: mit
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base_model: Gladiator/microsoft-deberta-v3-large_ner_conll2003
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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_tag_model
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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_tag_model
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This model is a fine-tuned version of [Gladiator/microsoft-deberta-v3-large_ner_conll2003](https://huggingface.co/Gladiator/microsoft-deberta-v3-large_ner_conll2003) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1712
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- Precision: 0.8569
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- Recall: 0.8551
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- F1: 0.8560
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- Accuracy: 0.9151
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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: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| 0.2322 | 1.0 | 2495 | 0.1925 | 0.7990 | 0.7924 | 0.7957 | 0.8969 |
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| 0.1674 | 2.0 | 4990 | 0.1488 | 0.8218 | 0.8316 | 0.8267 | 0.9116 |
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| 0.1381 | 3.0 | 7485 | 0.1438 | 0.8204 | 0.8350 | 0.8276 | 0.9130 |
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| 0.1284 | 4.0 | 9980 | 0.1381 | 0.8419 | 0.8405 | 0.8412 | 0.9148 |
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| 0.1198 | 5.0 | 12475 | 0.1400 | 0.8280 | 0.8410 | 0.8345 | 0.9148 |
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| 0.1155 | 6.0 | 14970 | 0.1395 | 0.8379 | 0.8467 | 0.8423 | 0.9154 |
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| 0.1125 | 7.0 | 17465 | 0.1496 | 0.8438 | 0.8487 | 0.8462 | 0.9151 |
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| 0.1068 | 8.0 | 19960 | 0.1510 | 0.8518 | 0.8529 | 0.8523 | 0.9156 |
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| 0.1002 | 9.0 | 22455 | 0.1616 | 0.8536 | 0.8539 | 0.8537 | 0.9150 |
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| 0.0964 | 10.0 | 24950 | 0.1712 | 0.8569 | 0.8551 | 0.8560 | 0.9151 |
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### Framework versions
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- Transformers 4.33.1
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- Pytorch 1.13.1+cu116
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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added_tokens.json
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{
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"[MASK]": 128000
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}
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config.json
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{
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"_name_or_path": "Gladiator/microsoft-deberta-v3-large_ner_conll2003",
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"architectures": [
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"DebertaV2ForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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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": "ProductNameEn",
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"1": "TradeMarkEn",
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"2": "Country",
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"3": "HSCode",
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"4": "HSCodeEn",
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"5": "ManufacturerEn",
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"6": "ModelNo"
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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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"Country": 2,
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"HSCode": 3,
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"HSCodeEn": 4,
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"ManufacturerEn": 5,
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"ModelNo": 6,
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"ProductNameEn": 0,
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"TradeMarkEn": 1
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},
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"layer_norm_eps": 1e-07,
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"max_position_embeddings": 512,
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"max_relative_positions": -1,
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"model_type": "deberta-v2",
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"norm_rel_ebd": "layer_norm",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"pad_token_id": 0,
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"pooler_dropout": 0,
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"pooler_hidden_act": "gelu",
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"pooler_hidden_size": 1024,
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"pos_att_type": [
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"p2c",
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"c2p"
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],
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"position_biased_input": false,
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"position_buckets": 256,
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"relative_attention": true,
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"share_att_key": true,
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"torch_dtype": "float32",
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"transformers_version": "4.33.1",
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"type_vocab_size": 0,
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"vocab_size": 128100
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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 sha256:4c2ef45064e330f9371e29fa251c481f4768f7e7b576c67094e637d20be27f02
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size 1736213293
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special_tokens_map.json
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{
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"bos_token": "[CLS]",
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"cls_token": "[CLS]",
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"eos_token": "[SEP]",
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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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spm.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
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size 2464616
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tokenizer.json
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See raw diff
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tokenizer_config.json
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{
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"bos_token": "[CLS]",
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_lower_case": false,
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"eos_token": "[SEP]",
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"mask_token": "[MASK]",
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"max_length": 512,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"sp_model_kwargs": {},
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"split_by_punct": false,
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"stride": 0,
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"tokenizer_class": "DebertaV2Tokenizer",
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"truncation_side": "right",
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"truncation_strategy": "longest_first",
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"unk_token": "[UNK]",
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"vocab_type": "spm"
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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 sha256:9e975e9bda0829eaeee753ebff776709ebbfd50a07b8ebb4a0b2b8bc73779493
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size 3963
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