End of training
Browse files- README.md +72 -0
- added_tokens.json +3 -0
- bpe.codes +0 -0
- config.json +45 -0
- model.safetensors +3 -0
- special_tokens_map.json +9 -0
- tokenizer_config.json +54 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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base_model: vinai/phobert-base-v2
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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model-index:
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- name: metadata-cls-gemini
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/nguyenducbao/huggingface/runs/08pk0u8k)
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# metadata-cls-gemini
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This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0111
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- Accuracy: 0.8183
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- F1: 0.7722
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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: 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: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
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| 0.9411 | 1.6949 | 200 | 0.5887 | 0.8002 | 0.6394 |
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| 0.4312 | 3.3898 | 400 | 0.5675 | 0.8097 | 0.7790 |
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| 0.2745 | 5.0847 | 600 | 0.5685 | 0.8164 | 0.7767 |
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| 0.2199 | 6.7797 | 800 | 0.6602 | 0.8116 | 0.7998 |
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| 0.1536 | 8.4746 | 1000 | 0.8254 | 0.8069 | 0.7707 |
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| 0.1021 | 10.1695 | 1200 | 0.8674 | 0.8097 | 0.7889 |
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| 0.0928 | 11.8644 | 1400 | 0.8696 | 0.8145 | 0.7789 |
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| 0.0692 | 13.5593 | 1600 | 0.9211 | 0.8259 | 0.7926 |
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| 0.049 | 15.2542 | 1800 | 0.9573 | 0.8221 | 0.7899 |
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| 0.0391 | 16.9492 | 2000 | 1.0388 | 0.8154 | 0.7713 |
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| 0.0372 | 18.6441 | 2200 | 1.0111 | 0.8183 | 0.7722 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.1.2
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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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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"_name_or_path": "vinai/phobert-base-v2",
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"architectures": [
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"RobertaForSequenceClassification"
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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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"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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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2",
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"3": "LABEL_3",
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"4": "LABEL_4",
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"5": "LABEL_5"
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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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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2,
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"LABEL_3": 3,
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"LABEL_4": 4,
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"LABEL_5": 5
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},
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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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"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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"tokenizer_class": "PhobertTokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.42.4",
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"type_vocab_size": 1,
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"use_cache": true,
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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 sha256:3040523dcc3b41e1ad0c78061f5b6ba8e6cd8cd010b61ca83a4d4fca733a7d22
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size 540035688
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special_tokens_map.json
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{
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": "<mask>",
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"unk_token": "<unk>"
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}
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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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"bos_token": "<s>",
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"clean_up_tokenization_spaces": true,
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"cls_token": "<s>",
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"eos_token": "</s>",
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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 sha256:8f42ffdd95c51228548beeb4c3e83ae711e83e4defb151524e4992feb649b720
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size 5048
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vocab.txt
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