pytorch roberta text-classification transformers generated_from_trainer license:apache-2.0 model-index
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Text Classification
PyTorch
Transformers
apache-2.0
roberta
generated_from_trainer
Eval Results
Infinity Compatible
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AGT_Roberta
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README.md
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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: AGT_Roberta
  results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# AGT_Roberta

This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None 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: 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: 3
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 1.16.0
- Tokenizers 0.12.1

