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rob2rand_chen_w_prefix
imamnurby/rob2rand_chen_w_prefix
rob2rand_chen_w_prefix is a machine learning model from imamnurby. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- encoder-decoder
- Access
- Public
- Created
- May 20, 2022
- Updated
- May 20, 2022
- SHA
- d9f17536
Model card
From the Hugging Face model README
<!-- 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. -->
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
- Library
- transformers
- Type
- encoder-decoder
- Created
- May 20, 2022
- Updated
- May 20, 2022