Edit model card

Randomized_Roberta_Stacked_model_60

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

  • Loss: 0.8405
  • F1: 0.7375

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: 1e-05
  • train_batch_size: 64
  • eval_batch_size: 64
  • 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 F1
0.7506 1.0 946 0.7934 0.7253
0.6493 2.0 1892 0.7852 0.7287
0.5845 3.0 2838 0.7963 0.7351
0.5236 4.0 3784 0.8036 0.7372
0.4824 5.0 4730 0.8405 0.7375

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.5.0+cu121
  • Datasets 3.1.0
  • Tokenizers 0.19.1
Downloads last month
8
Safetensors
Model size
278M params
Tensor type
F32
·
Inference API
Inference API (serverless) does not yet support transformers models for this pipeline type.

Model tree for Ariffiq99/Randomized_Roberta_Stacked_model_60

Finetuned
(2621)
this model