yangyida/t5_small_earning_conference_call_stats

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t5smallearningconferencecall_stats

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 1.0694
• —Rouge1: 0.6953
• —Rouge2: 0.5056
• —Rougel: 0.6725
• —Rougelsum: 0.6722
• —Gen Len: 11.2935

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: 0.005
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 4
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.41.1
• —Pytorch 2.3.0
• —Datasets 2.19.1
• —Tokenizers 0.19.1