Training complete
Browse files- README.md +69 -0
- added_tokens.json +3 -0
- bpe.codes +0 -0
- config.json +30 -0
- model.safetensors +3 -0
- special_tokens_map.json +9 -0
- tokenizer_config.json +55 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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base_model: vinai/bertweet-base
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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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model-index:
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- name: BERTweet
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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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# BERTweet
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This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2836
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- Accuracy: 0.9070
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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: 5e-05
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- train_batch_size: 16
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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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- lr_scheduler_warmup_steps: 500
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 0.6594 | 0.0994 | 47 | 0.5265 | 0.7661 |
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| 0.4744 | 0.1987 | 94 | 0.5127 | 0.7736 |
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| 0.389 | 0.2981 | 141 | 0.4142 | 0.8441 |
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| 0.4078 | 0.3975 | 188 | 0.3744 | 0.8778 |
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| 0.344 | 0.4968 | 235 | 0.4091 | 0.8516 |
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| 0.3149 | 0.5962 | 282 | 0.3440 | 0.8853 |
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| 0.3883 | 0.6956 | 329 | 0.3599 | 0.8741 |
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| 0.3254 | 0.7949 | 376 | 0.3196 | 0.9055 |
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| 0.3261 | 0.8943 | 423 | 0.2935 | 0.9055 |
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| 0.3308 | 0.9937 | 470 | 0.2836 | 0.9070 |
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### Framework versions
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- Transformers 4.40.0
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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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/bertweet-base",
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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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"gradient_checkpointing": false,
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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": 130,
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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": "BertweetTokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.40.0",
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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 sha256:4d84fa79bc1605a8768938f395ebd1f9caa63c520e46f56e40f6463337a59771
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size 539630168
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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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"normalization": false,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"tokenizer_class": "BertweetTokenizer",
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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 sha256:996400b0cd4795977127b57fe88988aed6fcae5eb58efc2e9d48bc7dc6be19ce
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size 4920
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vocab.txt
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