phunganhsang
commited on
Commit
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End of training
Browse files- README.md +70 -0
- added_tokens.json +3 -0
- bpe.codes +0 -0
- config.json +29 -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: phobert_55k_bo_vn
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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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# phobert_55k_bo_vn
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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: 0.2688
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- Accuracy: 0.9534
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- F1: 0.9536
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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: 32
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- eval_batch_size: 32
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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: cosine_with_restarts
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- num_epochs: 10
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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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| 0.211 | 1.0 | 1719 | 0.1383 | 0.9485 | 0.9487 |
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| 0.1376 | 2.0 | 3438 | 0.1373 | 0.9521 | 0.9523 |
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| 0.1105 | 3.0 | 5157 | 0.1431 | 0.9522 | 0.9527 |
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| 0.0889 | 4.0 | 6876 | 0.1649 | 0.9534 | 0.9537 |
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| 0.0715 | 5.0 | 8595 | 0.1770 | 0.9549 | 0.9548 |
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| 0.0561 | 6.0 | 10314 | 0.1937 | 0.9533 | 0.9536 |
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| 0.0443 | 7.0 | 12033 | 0.2260 | 0.9530 | 0.9533 |
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| 0.0367 | 8.0 | 13752 | 0.2664 | 0.9529 | 0.9531 |
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| 0.0327 | 9.0 | 15471 | 0.2663 | 0.9532 | 0.9534 |
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| 0.0298 | 10.0 | 17190 | 0.2688 | 0.9534 | 0.9536 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.1.2
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- Datasets 2.19.1
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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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See raw diff
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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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"initializer_range": 0.02,
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"intermediate_size": 3072,
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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": "4.41.2",
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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 sha256:668bef5ca8315d2f358e2db371b8d306b47ae83d64bbc172365034414a1ef093
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size 540023384
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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 sha256:283f28d7e697afbabdf7e12b052e5180cd7da208d3972b7d963d19de51ec0ab6
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size 5112
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vocab.txt
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See raw diff
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