Lilt_xlmRoberta-finetuned

This model is a fine-tuned version of RobertoFont/lilt-xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8585
• Accuracy: 0.756

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: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 32
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	78	1.6469	0.524
No log	2.0	156	1.2372	0.644
No log	3.0	234	1.0487	0.686
No log	4.0	312	0.9515	0.723
No log	5.0	390	0.9319	0.735
No log	6.0	468	0.8965	0.742
No log	7.0	546	0.8809	0.754
No log	8.0	624	0.8597	0.756
No log	9.0	702	0.8673	0.758
No log	10.0	780	0.8585	0.756

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2