End of training
Browse files- README.md +67 -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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model-index:
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- name: roberta-base-pretrained-perigon200k
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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-pretrained-perigon200k
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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: 0.9840
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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: 8.5e-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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- lr_scheduler_warmup_ratio: 0.19
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 1.4678 | 1.0 | 5480 | 1.3180 |
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| 1.3713 | 2.0 | 10960 | 1.2695 |
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| 1.2673 | 3.0 | 16440 | 1.1842 |
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| 1.211 | 4.0 | 21920 | 1.1350 |
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| 1.1646 | 5.0 | 27400 | 1.0997 |
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| 1.1181 | 6.0 | 32880 | 1.0630 |
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| 1.0859 | 7.0 | 38360 | 1.0344 |
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| 1.0561 | 8.0 | 43840 | 1.0126 |
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| 1.0244 | 9.0 | 49320 | 0.9944 |
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| 1.0006 | 10.0 | 54800 | 0.9881 |
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### Framework versions
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- Transformers 4.33.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 498859189
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version https://git-lfs.github.com/spec/v1
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size 498859189
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