metadata
tags:
- generated_from_trainer
model-index:
- name: tuned_XLM_RLarge_after_big
results: []
tuned_XLM_RLarge_after_big
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.0961
- eval_runtime: 1577.8619
- eval_samples_per_second: 1.267
- eval_steps_per_second: 0.079
- epoch: 0.0051
- step: 3
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1