README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - oscar
model_index:
  - name: esberto-small
    results:
      - task:
          name: Masked Language Modeling
          type: fill-mask
        dataset:
          name: oscar
          type: oscar
          args: unshuffled_original_eo

esberto-small

This model is a fine-tuned version of on the oscar dataset.

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: tpu
• num_devices: 8
• total_train_batch_size: 64
• total_eval_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Framework versions

• Transformers 4.10.0.dev0
• Pytorch 1.9.0+cu102
• Datasets 1.10.3.dev0
• Tokenizers 0.10.3