End of training
Browse files- README.md +70 -0
- model.safetensors +1 -1
README.md
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---
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license: mit
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base_model: FacebookAI/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: finetuned-roberta-uncased-on-HOPE
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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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# finetuned-roberta-uncased-on-HOPE
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This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3840
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- Accuracy: 0.5350
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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: 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: 0.1
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- num_epochs: 10
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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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| 1.3484 | 1.0 | 578 | 1.3959 | 0.5158 |
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| 1.2817 | 2.0 | 1156 | 1.4068 | 0.5176 |
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| 1.1726 | 3.0 | 1734 | 1.4124 | 0.5501 |
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| 0.8788 | 4.0 | 2312 | 1.4765 | 0.5239 |
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| 0.8274 | 5.0 | 2890 | 1.6174 | 0.5140 |
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| 0.6239 | 6.0 | 3468 | 1.8005 | 0.5068 |
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| 0.4586 | 7.0 | 4046 | 1.9531 | 0.4995 |
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| 0.4038 | 8.0 | 4624 | 2.1295 | 0.4869 |
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| 0.3829 | 9.0 | 5202 | 2.1942 | 0.4887 |
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| 0.3445 | 10.0 | 5780 | 2.2519 | 0.4878 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 498643584
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version https://git-lfs.github.com/spec/v1
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size 498643584
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