End of training
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- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: judy93536/distilroberta-rbm231k-ep20-op40
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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: distilroberta-rbm231k-ep20-op40-phrase5k
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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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# distilroberta-rbm231k-ep20-op40-phrase5k
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This model is a fine-tuned version of [judy93536/distilroberta-rbm231k-ep20-op40](https://huggingface.co/judy93536/distilroberta-rbm231k-ep20-op40) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1681
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- Accuracy: 0.9560
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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: 1.113335054745316e-06
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- train_batch_size: 16
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- eval_batch_size: 16
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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_ratio: 0.28
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- num_epochs: 13
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- mixed_precision_training: Native AMP
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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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| No log | 1.0 | 250 | 0.2748 | 0.9119 |
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| 0.2834 | 2.0 | 500 | 0.2418 | 0.9219 |
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| 0.2834 | 3.0 | 750 | 0.2013 | 0.9329 |
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| 0.2102 | 4.0 | 1000 | 0.1839 | 0.9389 |
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| 0.2102 | 5.0 | 1250 | 0.1848 | 0.9419 |
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| 0.1539 | 6.0 | 1500 | 0.1658 | 0.9469 |
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| 0.1539 | 7.0 | 1750 | 0.1685 | 0.9469 |
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| 0.1211 | 8.0 | 2000 | 0.1577 | 0.9550 |
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| 0.1211 | 9.0 | 2250 | 0.1625 | 0.9540 |
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| 0.1122 | 10.0 | 2500 | 0.1694 | 0.9520 |
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| 0.1122 | 11.0 | 2750 | 0.1583 | 0.9570 |
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| 0.1055 | 12.0 | 3000 | 0.1651 | 0.9570 |
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| 0.1055 | 13.0 | 3250 | 0.1681 | 0.9560 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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model.safetensors
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