Samuael/amhmt5-base-finetuned-amt5

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amhmt5-base-finetuned-amt5

This model is a fine-tuned version of Samuael/amt5-base on an unknown dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.3710
• —eval_rouge1: 0.0
• —eval_rouge2: 0.0
• —eval_rougeL: 0.0
• —eval_rougeLsum: 0.0
• —evalgenlen: 18.5905
• —eval_wer: 0.6072
• —eval_cer: 0.5393
• —eval_runtime: 4.0504
• —evalsamplesper_second: 88.633
• —evalstepsper_second: 1.481
• —epoch: 4.0
• —step: 5672

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: 0.0002
• —trainbatchsize: 64
• —evalbatchsize: 64
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 30

Framework versions

• —Transformers 4.37.2
• —Pytorch 2.1.0+cu121
• —Datasets 2.17.1
• —Tokenizers 0.15.2