End of training
Browse files- README.md +68 -0
- logs/events.out.tfevents.1706087801.3ba10b00d69f.392.0 +2 -2
- logs/events.out.tfevents.1706088547.3ba10b00d69f.392.1 +3 -0
- merges.txt +0 -0
- model.safetensors +1 -1
- special_tokens_map.json +15 -0
- tokenizer.json +0 -0
- tokenizer_config.json +57 -0
- vocab.json +0 -0
README.md
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---
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license: mit
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---
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---
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license: mit
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base_model: roberta-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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- f1
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- precision
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- recall
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model-index:
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- name: roberta-base_stress_classification
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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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# roberta-base_stress_classification
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0642
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- Accuracy: 0.9844
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- F1: 0.9844
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- Precision: 0.9848
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- Recall: 0.9844
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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: 8
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- eval_batch_size: 8
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| 0.3508 | 1.0 | 160 | 0.2642 | 0.9031 | 0.9027 | 0.9102 | 0.9031 |
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| 0.4855 | 2.0 | 320 | 0.1365 | 0.975 | 0.9750 | 0.9751 | 0.975 |
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| 0.0655 | 3.0 | 480 | 0.0642 | 0.9844 | 0.9844 | 0.9848 | 0.9844 |
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| 0.0884 | 4.0 | 640 | 0.0699 | 0.9875 | 0.9875 | 0.9878 | 0.9875 |
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| 0.0006 | 5.0 | 800 | 0.0741 | 0.9844 | 0.9844 | 0.9845 | 0.9844 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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logs/events.out.tfevents.1706087801.3ba10b00d69f.392.0
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logs/events.out.tfevents.1706088547.3ba10b00d69f.392.1
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merges.txt
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model.safetensors
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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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"mask_token": {
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"lstrip": true,
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"unk_token": "<unk>"
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tokenizer.json
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tokenizer_config.json
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vocab.json
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