amirhamza11/mBart-large_nwp_finetuning_test3

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mBart-largenwpfinetuning_test3

This model is a fine-tuned version of facebook/mbart-large-cc25 on the None dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.0028
• —eval_runtime: 2.4878
• —evalsamplesper_second: 209.418
• —evalstepsper_second: 26.529
• —epoch: 5.0
• —step: 2980

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: 2e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 30

Framework versions

• —Transformers 4.31.0
• —Pytorch 2.0.1+cu118
• —Datasets 2.14.4
• —Tokenizers 0.13.3