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---
tags:
- generated_from_trainer
model-index:
- name: luo_xlmr
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# luo_xlmr
This model is a fine-tuned version of [models/luo_xlmr/](https://huggingface.co/models/luo_xlmr/) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.7161
- eval_runtime: 3.4086
- eval_samples_per_second: 30.804
- eval_steps_per_second: 4.107
- step: 0
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 5
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 10
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
### Framework versions
- Transformers 4.21.1
- Pytorch 1.7.1+cu110
- Datasets 1.16.1
- Tokenizers 0.12.1
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