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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: xlmr-base-texas-squad-fr |
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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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# xlmr-base-texas-squad-fr |
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6133 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 2.1478 | 0.23 | 1000 | 1.8543 | |
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| 1.9827 | 0.46 | 2000 | 1.7643 | |
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| 1.8427 | 0.69 | 3000 | 1.6789 | |
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| 1.8372 | 0.92 | 4000 | 1.6137 | |
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| 1.7318 | 1.15 | 5000 | 1.6093 | |
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| 1.6603 | 1.38 | 6000 | 1.7157 | |
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| 1.6334 | 1.61 | 7000 | 1.6302 | |
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| 1.6716 | 1.84 | 8000 | 1.5845 | |
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| 1.5192 | 2.06 | 9000 | 1.6690 | |
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| 1.5174 | 2.29 | 10000 | 1.6669 | |
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| 1.4611 | 2.52 | 11000 | 1.6301 | |
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| 1.4648 | 2.75 | 12000 | 1.6009 | |
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| 1.5052 | 2.98 | 13000 | 1.6133 | |
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### Framework versions |
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- Transformers 4.12.2 |
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- Pytorch 1.8.1+cu101 |
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- Datasets 1.12.1 |
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- Tokenizers 0.10.3 |
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