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README.md
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tags:
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- generated_from_trainer
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model-index:
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- name: lug_xlmr
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results: []
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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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# lug_xlmr
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This model is a fine-tuned version of [models/lug_xlmr/](https://huggingface.co/models/lug_xlmr/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.8414
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- eval_runtime: 10.7925
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- eval_samples_per_second: 32.245
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- eval_steps_per_second: 4.077
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- step: 0
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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: 5
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 10
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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: 3.0
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### Framework versions
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- Transformers 4.21.1
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- Pytorch 1.7.1+cu110
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- Datasets 1.16.1
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- Tokenizers 0.12.1
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