Instructions to use RonTon05/MTL_Frozen_backbone_binary_head with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RonTon05/MTL_Frozen_backbone_binary_head with Transformers:
# Load model directly from transformers import AutoTokenizer, PhoBERTMultiTask tokenizer = AutoTokenizer.from_pretrained("RonTon05/MTL_Frozen_backbone_binary_head") model = PhoBERTMultiTask.from_pretrained("RonTon05/MTL_Frozen_backbone_binary_head") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- README.md +75 -0
- added_tokens.json +3 -0
- bpe.codes +0 -0
- config.json +33 -0
- model.safetensors +3 -0
- tokenizer_config.json +57 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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library_name: transformers
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license: agpl-3.0
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base_model: RonTon05/model_content_V2_test
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: MTL_Frozen_backbone_binary_head
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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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# MTL_Frozen_backbone_binary_head
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This model is a fine-tuned version of [RonTon05/model_content_V2_test](https://huggingface.co/RonTon05/model_content_V2_test) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4753
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- F1 Task1: 0.9972
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- F1 Task2: 0.1840
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- Acc Task1: 0.9984
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- Acc Task2: 0.4232
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- F1: 0.5906
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- F1 Macro: 0.5906
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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: 64
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- eval_batch_size: 64
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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 | F1 Task1 | F1 Task2 | Acc Task1 | Acc Task2 | F1 | F1 Macro |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:---------:|:------:|:--------:|
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| 1.7773 | 1.0 | 275 | 1.6048 | 0.9972 | 0.1044 | 0.9984 | 0.3675 | 0.5508 | 0.5508 |
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| 1.6021 | 2.0 | 550 | 1.5769 | 0.9972 | 0.1191 | 0.9984 | 0.3766 | 0.5581 | 0.5581 |
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| 1.5781 | 3.0 | 825 | 1.5521 | 0.9972 | 0.1375 | 0.9984 | 0.3914 | 0.5673 | 0.5673 |
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| 1.5592 | 4.0 | 1100 | 1.5308 | 0.9972 | 0.1654 | 0.9984 | 0.4089 | 0.5813 | 0.5813 |
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| 1.5428 | 5.0 | 1375 | 1.5133 | 0.9972 | 0.1702 | 0.9984 | 0.4112 | 0.5837 | 0.5837 |
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| 1.5241 | 6.0 | 1650 | 1.4985 | 0.9972 | 0.1821 | 0.9984 | 0.4255 | 0.5896 | 0.5896 |
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| 1.5147 | 7.0 | 1925 | 1.4875 | 0.9972 | 0.1758 | 0.9984 | 0.4180 | 0.5865 | 0.5865 |
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| 1.4986 | 8.0 | 2200 | 1.4837 | 0.9972 | 0.1775 | 0.9984 | 0.4196 | 0.5873 | 0.5873 |
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| 1.4979 | 9.0 | 2475 | 1.4764 | 0.9972 | 0.1843 | 0.9984 | 0.4239 | 0.5907 | 0.5907 |
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| 1.4914 | 10.0 | 2750 | 1.4753 | 0.9972 | 0.1840 | 0.9984 | 0.4232 | 0.5906 | 0.5906 |
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### Framework versions
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- Transformers 5.10.1
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- Pytorch 2.7.1+cu118
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- Datasets 4.8.5
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- Tokenizers 0.22.2
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added_tokens.json
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{
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"<mask>": 64000
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}
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bpe.codes
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config.json
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{
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"add_cross_attention": false,
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"architectures": [
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"PhoBERTMultiTask"
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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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"dtype": "float32",
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"eos_token_id": 2,
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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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"is_decoder": false,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 258,
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"model_type": "roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"num_labels_task1": 2,
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"num_labels_task2": 10,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"tie_word_embeddings": true,
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"tokenizer_class": "PhobertTokenizer",
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"transformers_version": "5.10.1",
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"type_vocab_size": 1,
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"use_cache": false,
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"vocab_size": 64001
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:14734383f6b482f2a1c8480fae8db34d0cd387ca9263940890f88876183894e9
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size 545577152
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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": "<s>",
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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": "<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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"2": {
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"content": "</s>",
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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": "<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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"64000": {
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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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"backend": "custom",
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"cls_token": "<s>",
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"eos_token": "</s>",
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"is_local": false,
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"local_files_only": false,
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"mask_token": "<mask>",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"tokenizer_class": "PhobertTokenizer",
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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:dae7cd5cf2178a69ed5e4d4ceb6e9d619ec9371f3a5bbf0ac8292cdd2fc9f731
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size 5201
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vocab.txt
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