Commit
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Parent(s):
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End of training
Browse files- README.md +83 -0
- pytorch_model.bin +1 -1
README.md
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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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model-index:
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- name: NLP_Capstone
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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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# NLP_Capstone
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2591
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- Accuracy: 0.9143
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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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- num_epochs: 5
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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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| 0.4283 | 0.2 | 500 | 0.3811 | 0.8715 |
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| 0.397 | 0.4 | 1000 | 0.4590 | 0.8601 |
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| 0.3813 | 0.6 | 1500 | 0.2912 | 0.9103 |
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| 0.3309 | 0.8 | 2000 | 0.2591 | 0.9143 |
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| 0.3138 | 1.0 | 2500 | 0.3744 | 0.9060 |
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| 0.2552 | 1.2 | 3000 | 0.2948 | 0.9070 |
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| 0.2317 | 1.41 | 3500 | 0.3014 | 0.8914 |
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| 0.2592 | 1.61 | 4000 | 0.3275 | 0.9187 |
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| 0.2754 | 1.81 | 4500 | 0.3449 | 0.9133 |
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| 0.242 | 2.01 | 5000 | 0.3925 | 0.9085 |
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| 0.1777 | 2.21 | 5500 | 0.3589 | 0.9213 |
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| 0.1797 | 2.41 | 6000 | 0.4360 | 0.9125 |
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| 0.1775 | 2.61 | 6500 | 0.3475 | 0.9257 |
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| 0.1731 | 2.81 | 7000 | 0.3797 | 0.9249 |
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| 0.1705 | 3.01 | 7500 | 0.3802 | 0.9211 |
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| 0.1271 | 3.21 | 8000 | 0.3827 | 0.9273 |
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| 0.1071 | 3.41 | 8500 | 0.3927 | 0.9281 |
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| 0.0958 | 3.61 | 9000 | 0.4263 | 0.9275 |
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| 0.1123 | 3.81 | 9500 | 0.3773 | 0.9273 |
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| 0.0802 | 4.01 | 10000 | 0.4282 | 0.9293 |
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| 0.0521 | 4.22 | 10500 | 0.4677 | 0.9247 |
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| 0.063 | 4.42 | 11000 | 0.4233 | 0.9267 |
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| 0.069 | 4.62 | 11500 | 0.4097 | 0.9293 |
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| 0.0367 | 4.82 | 12000 | 0.4336 | 0.9283 |
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 498658094
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version https://git-lfs.github.com/spec/v1
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oid sha256:05b81f97c2b44a35dc7a9a25c99fd2ba272414250ec802f9fe22a6a8d9d4f9ca
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size 498658094
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