damand2061
commited on
Commit
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Parent(s):
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End of training
Browse files- README.md +61 -0
- config.json +108 -0
- special_tokens_map.json +7 -0
- tf_model.h5 +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +57 -0
- vocab.txt +0 -0
README.md
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---
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library_name: transformers
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license: mit
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base_model: indobenchmark/indobert-base-p1
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tags:
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- generated_from_keras_callback
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model-index:
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- name: damand2061/pfsa-id-indobert-nlu
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# damand2061/pfsa-id-indobert-nlu
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This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.0564
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- Validation Loss: 0.3296
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- Validation F1: 0.8278
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- Validation Accuracy: 0.9226
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- Epoch: 4
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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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- optimizer: {'inner_optimizer': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 10440, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}, 'registered_name': 'AdamWeightDecay'}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
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- training_precision: mixed_float16
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### Training results
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| Train Loss | Validation Loss | Validation F1 | Validation Accuracy | Epoch |
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|:----------:|:---------------:|:-------------:|:-------------------:|:-----:|
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| 0.3292 | 0.2490 | 0.7686 | 0.9169 | 0 |
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| 0.2018 | 0.2370 | 0.8140 | 0.9267 | 1 |
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| 0.1353 | 0.2506 | 0.8206 | 0.9220 | 2 |
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| 0.0842 | 0.2787 | 0.8220 | 0.9263 | 3 |
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| 0.0564 | 0.3296 | 0.8278 | 0.9226 | 4 |
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### Framework versions
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- Transformers 4.44.2
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- TensorFlow 2.17.0
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "indobenchmark/indobert-base-p1",
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"_num_labels": 5,
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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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"directionality": "bidi",
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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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"id2label": {
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"0": "B-EVENT",
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"1": "I-EVENT",
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"2": "L-EVENT",
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"3": "B-STATEMENT",
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"4": "I-STATEMENT",
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"5": "L-STATEMENT",
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"6": "B-DATETIME",
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"7": "I-DATETIME",
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"8": "L-DATETIME",
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"9": "B-ROLE",
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"10": "I-ROLE",
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"11": "L-ROLE",
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"12": "B-PERSON",
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"13": "I-PERSON",
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"14": "L-PERSON",
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"15": "B-LOCATION",
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"16": "I-LOCATION",
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"17": "L-LOCATION",
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"18": "B-ISSUE",
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"19": "I-ISSUE",
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"20": "L-ISSUE",
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"21": "B-AFFILIATION",
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"22": "I-AFFILIATION",
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"23": "L-AFFILIATION",
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"24": "B-PERSONCOREF",
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"25": "I-PERSONCOREF",
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"26": "L-PERSONCOREF",
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"27": "U-EVENT",
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"28": "U-AFFILIATION",
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"29": "U-ROLE",
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"30": "U-PERSON",
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"31": "U-PERSONCOREF",
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"32": "U-CUE",
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"33": "U-CUECOREF",
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"34": "U-LOCATION",
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"35": "O"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"B-AFFILIATION": 21,
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"B-DATETIME": 6,
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"B-EVENT": 0,
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"B-ISSUE": 18,
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"B-LOCATION": 15,
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"B-PERSON": 12,
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"B-PERSONCOREF": 24,
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"B-ROLE": 9,
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"B-STATEMENT": 3,
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"I-AFFILIATION": 22,
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"I-DATETIME": 7,
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"I-EVENT": 1,
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"I-ISSUE": 19,
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"I-LOCATION": 16,
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"I-PERSON": 13,
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"I-PERSONCOREF": 25,
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"I-ROLE": 10,
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"I-STATEMENT": 4,
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"L-AFFILIATION": 23,
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"L-DATETIME": 8,
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"L-EVENT": 2,
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"L-ISSUE": 20,
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"L-LOCATION": 17,
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"L-PERSON": 14,
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"L-PERSONCOREF": 26,
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"L-ROLE": 11,
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"L-STATEMENT": 5,
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"O": 35,
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"U-AFFILIATION": 28,
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"U-CUE": 32,
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"U-CUECOREF": 33,
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"U-EVENT": 27,
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"U-LOCATION": 34,
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"U-PERSON": 30,
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"U-PERSONCOREF": 31,
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"U-ROLE": 29
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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": 12,
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"num_hidden_layers": 12,
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"output_past": true,
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"pad_token_id": 0,
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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"transformers_version": "4.44.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 50000
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}
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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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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:e26eda7705cd94afe669616e53e7ab8fc82c9ec0064661c2944c8c71adf1d3b6
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size 495799384
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tokenizer.json
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"3": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"4": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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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_basic_tokenize": true,
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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"never_split": null,
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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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vocab.txt
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