demo-oss-xlmr-e

This model is a fine-tuned version of ania3000/untrained-oss-xlmr-e on the None dataset. It achieves the following results on the evaluation set:

• Loss: 6.6579

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0309	200	7.0744
No log	2.0619	400	6.8929
No log	3.0928	600	6.7532
No log	4.1237	800	6.6579

Framework versions

• Transformers 4.57.1
• Pytorch 2.10.0+cu128
• Datasets 4.0.0
• Tokenizers 0.22.1