metadata

base_model: Auruncus/lsg-lsh-mbart-cc25-16384-128-4-2ep
tags:
  - generated_from_trainer
model-index:
  - name: lsg-lsh-mbart-cc25-16384-128-4-4ep
    results: []

lsg-lsh-mbart-cc25-16384-128-4-4ep

This model is a fine-tuned version of Auruncus/lsg-lsh-mbart-cc25-16384-128-4-2ep 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: 5e-05
train_batch_size: 2
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2.0
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.41.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1