seq2seq-plm / README.md
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metadata
library_name: transformers
base_model: khairi/seq2seq-plm
tags:
  - generated_from_trainer
model-index:
  - name: seq2seq-plm
    results: []

Visualize in Weights & Biases

seq2seq-plm

This model is a fine-tuned version of khairi/seq2seq-plm on an unknown 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: 0.0001
  • train_batch_size: 112
  • eval_batch_size: 112
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 224
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 2000
  • num_epochs: 5

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.2.1
  • Datasets 3.0.0
  • Tokenizers 0.19.1