MLMTokens_MAL-10epoch-MLMMul

This model is a fine-tuned version of xlm-mlm-100-1280 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.4956
  • Accuracy: 0.6935

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: 5
  • eval_batch_size: 5
  • 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 Accuracy
No log 1.0 19 1.4479 0.7097
No log 2.0 38 1.8107 0.5484
No log 3.0 57 2.0599 0.4355
No log 4.0 76 3.2218 0.7097
No log 5.0 95 2.4956 0.6935

Framework versions

  • Transformers 4.35.0.dev0
  • Pytorch 1.13.1
  • Datasets 2.14.5
  • Tokenizers 0.14.1
Downloads last month
18
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 Rahul-G/MLMTokens_MAL-10epoch-MLMMul

Finetuned
(4)
this model