pytorch encoder-decoder text2text-generation transformers generated_from_trainer model-index autotrain_compatible
---
tags:
- generated_from_trainer
model-index:
- name: rob2rand_chen_w_prefix
  results: []
---

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# rob2rand_chen_w_prefix

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.0686
- eval_bleu: 84.3905
- eval_em: 50.0650
- eval_bleu_em: 67.2278
- eval_runtime: 20.8187
- eval_samples_per_second: 36.938
- eval_steps_per_second: 0.624
- step: 0

## 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-06
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 50
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.18.0
- Pytorch 1.7.1
- Datasets 2.1.0
- Tokenizers 0.12.1
