medidalRoberta

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

  • Loss: 0.0334
  • Accuracy: 0.9868

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: 32
  • eval_batch_size: 32
  • seed: 42
  • 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 19 1.3034 0.5789
No log 2.0 38 0.6350 0.8816
No log 3.0 57 0.2689 0.8947
No log 4.0 76 0.1290 0.9868
No log 5.0 95 0.1135 0.9605
No log 6.0 114 0.0605 0.9868
No log 7.0 133 0.0536 0.9868
No log 8.0 152 0.0417 0.9868
No log 9.0 171 0.0332 0.9868
No log 10.0 190 0.0334 0.9868

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2
Downloads last month
23
Safetensors
Model size
278M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for achDev/medidalRoberta

Finetuned
(2700)
this model