End of training
Browse files- README.md +68 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: bert-base-multilingual-cased
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tags:
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- generated_from_trainer
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datasets:
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- quoref
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model-index:
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- name: mbert-quoref
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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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# mbert-quoref
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the quoref dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.7567
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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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- 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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| 1.8761 | 1.0 | 1213 | 1.7360 |
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| 1.305 | 2.0 | 2426 | 1.6877 |
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| 0.9271 | 3.0 | 3639 | 1.8559 |
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| 0.6565 | 4.0 | 4852 | 2.0420 |
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| 0.4911 | 5.0 | 6065 | 2.3335 |
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| 0.3468 | 6.0 | 7278 | 2.6380 |
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| 0.2522 | 7.0 | 8491 | 2.8952 |
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| 0.2001 | 8.0 | 9704 | 3.2514 |
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| 0.1501 | 9.0 | 10917 | 3.5567 |
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| 0.1314 | 10.0 | 12130 | 3.7567 |
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.0.1+cu118
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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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