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legal-abs

PEFT
Safetensors
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metadata
library_name: peft
license: apache-2.0
base_model: google/mt5-small
tags:
  - generated_from_trainer
model-index:
  - name: mt5-small-legal-summariser-32-epochs
    results: []

mt5-small-legal-summariser-32-epochs

This model is a fine-tuned version of google/mt5-small on the In-Abs 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: 0.001
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 32

Training results

Framework versions

  • PEFT 0.14.0
  • Transformers 4.48.2
  • Pytorch 2.5.1+cu124
  • Datasets 3.2.0
  • Tokenizers 0.21.0