End of training
Browse files- README.md +72 -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: EVALutionRelationTrain-3
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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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# EVALutionRelationTrain-3
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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: 0.6950
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- Accuracy: 0.5
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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: 8
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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 | 0.35 | 100 | 0.7315 | 0.5 |
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| No log | 0.71 | 200 | 0.7137 | 0.5 |
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| No log | 1.06 | 300 | 0.6932 | 0.5 |
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| No log | 1.42 | 400 | 0.6935 | 0.5 |
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| 0.7019 | 1.77 | 500 | 0.6945 | 0.5 |
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| 0.7019 | 2.13 | 600 | 0.6980 | 0.5 |
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| 0.7019 | 2.48 | 700 | 0.6953 | 0.5 |
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| 0.7019 | 2.84 | 800 | 0.6971 | 0.5 |
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| 0.7019 | 3.19 | 900 | 0.6940 | 0.5 |
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| 0.6977 | 3.55 | 1000 | 0.6960 | 0.5 |
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| 0.6977 | 3.9 | 1100 | 0.6969 | 0.5 |
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| 0.6977 | 4.26 | 1200 | 0.6937 | 0.5 |
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| 0.6977 | 4.61 | 1300 | 0.6950 | 0.5 |
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### Framework versions
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- Transformers 4.34.0
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- Pytorch 2.1.0+cu121
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- Datasets 2.14.5
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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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size 498658094
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