D. Vle
commited on
Training complete.
Browse files- README.md +63 -0
- config.json +25 -0
- model.safetensors +3 -0
- runs/Apr01_19-03-56_Asus-ProArt-H7600ZX/events.out.tfevents.1711994636.Asus-ProArt-H7600ZX.24892.0 +3 -0
- runs/Apr01_19-25-25_Asus-ProArt-H7600ZX/events.out.tfevents.1711995925.Asus-ProArt-H7600ZX.35032.0 +3 -0
- runs/Apr01_19-27-24_Asus-ProArt-H7600ZX/events.out.tfevents.1711996044.Asus-ProArt-H7600ZX.36261.0 +3 -0
- runs/Apr01_19-33-36_Asus-ProArt-H7600ZX/events.out.tfevents.1711996416.Asus-ProArt-H7600ZX.39450.0 +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -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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license: apache-2.0
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base_model: distilbert-base-uncased
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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: sentiment-analysis-model
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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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# sentiment-analysis-model
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0014
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- Accuracy: 1.0
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- F1: 1.0
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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: 2
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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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| No log | 1.0 | 79 | 0.0022 | 1.0 | 1.0 |
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| No log | 2.0 | 158 | 0.0014 | 1.0 | 1.0 |
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### Framework versions
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- Transformers 4.39.2
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- Pytorch 2.2.2+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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config.json
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{
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"_name_or_path": "distilbert-base-uncased",
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"activation": "gelu",
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"architectures": [
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"DistilBertForSequenceClassification"
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],
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"attention_dropout": 0.1,
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"dim": 768,
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"dropout": 0.1,
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"hidden_dim": 3072,
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"initializer_range": 0.02,
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"n_heads": 12,
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"n_layers": 6,
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"pad_token_id": 0,
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"problem_type": "single_label_classification",
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.39.2",
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"vocab_size": 30522
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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 sha256:86d8cea35a600dc0c48e10ff33b3b46d472f2ed3ffa377bbb21311cb41feb336
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size 267832560
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runs/Apr01_19-03-56_Asus-ProArt-H7600ZX/events.out.tfevents.1711994636.Asus-ProArt-H7600ZX.24892.0
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version https://git-lfs.github.com/spec/v1
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runs/Apr01_19-25-25_Asus-ProArt-H7600ZX/events.out.tfevents.1711995925.Asus-ProArt-H7600ZX.35032.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:7e334f422d744f99bb0e9e03811bea3a3f1cc454640f7303799c2aecdcda2e98
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size 4506
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runs/Apr01_19-27-24_Asus-ProArt-H7600ZX/events.out.tfevents.1711996044.Asus-ProArt-H7600ZX.36261.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:762bb251de14c39d6b5a26ab88340ee9938d2cc64936ddbd8eb0f26c063abd86
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size 5591
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runs/Apr01_19-33-36_Asus-ProArt-H7600ZX/events.out.tfevents.1711996416.Asus-ProArt-H7600ZX.39450.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:3a053315c8c408f81c1e8dd649875feada418e590a3f28fa0eac2c30ec053a9b
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size 5591
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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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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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"100": {
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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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"101": {
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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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"102": {
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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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"103": {
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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_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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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": "DistilBertTokenizer",
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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 sha256:5cc37b3487572ed7e0264240a37fc50cc8e78ff9429e66eb16988831889709ce
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size 4920
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vocab.txt
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