rap_phase2_MODEL2_18march_15i

This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0003

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.9564	1.0	659	0.3469
0.2638	2.0	1318	0.0785
0.0509	3.0	1977	0.0046
0.0364	4.0	2636	0.0008
0.0156	5.0	3295	0.0003

Framework versions

• Transformers 4.37.0
• Pytorch 2.1.1+cu118
• Datasets 2.16.1
• Tokenizers 0.15.0