End of training
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README.md
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---
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license: mit
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base_model: xlm-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: BLESSRelationTrain-1
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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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# BLESSRelationTrain-1
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6933
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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 | 0.8 | 100 | 0.6933 | 0.4940 |
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| No log | 1.6 | 200 | 0.6947 | 0.4940 |
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| No log | 2.4 | 300 | 0.6950 | 0.5 |
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| No log | 3.2 | 400 | 0.7457 | 0.5 |
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| 0.7052 | 4.0 | 500 | 0.6966 | 0.5 |
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| 0.7052 | 4.8 | 600 | 0.6961 | 0.5 |
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| 0.7052 | 5.6 | 700 | 0.6934 | 0.5 |
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| 0.7052 | 6.4 | 800 | 0.6943 | 0.5 |
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| 0.7052 | 7.2 | 900 | 0.6933 | 0.5 |
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| 0.6956 | 8.0 | 1000 | 0.6933 | 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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