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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- oscar |
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model_index: |
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- name: esberto-small |
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results: |
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- task: |
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name: Masked Language Modeling |
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type: fill-mask |
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dataset: |
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name: oscar |
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type: oscar |
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args: unshuffled_original_eo |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# esberto-small |
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This model is a fine-tuned version of [](https://huggingface.co/) on the oscar dataset. |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: tpu |
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- num_devices: 8 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 1 |
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### Training results |
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### Framework versions |
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- Transformers 4.10.0.dev0 |
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- Pytorch 1.9.0+cu102 |
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- Datasets 1.10.3.dev0 |
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- Tokenizers 0.10.3 |
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