imarri01/lhl-ds-btcamp-custom-txt-llm

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imarri01-huggingface

This model is a fine-tuned version of sshleifer/distilbart-cnn-12-6 on the None dataset. It achieves the following results on the evaluation set:

• —eval_loss: 3.8916
• —eval_rouge1: 0.2209
• —eval_rouge2: 0.0472
• —eval_rougeL: 0.1375
• —eval_rougeLsum: 0.1894
• —eval_runtime: 413.4048
• —evalsamplesper_second: 0.121
• —evalstepsper_second: 0.017
• —step: 0

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
• —trainbatchsize: 32
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5
• —mixedprecisiontraining: Native AMP

Framework versions

• —Transformers 4.42.3
• —Pytorch 2.3.0
• —Datasets 2.20.0
• —Tokenizers 0.19.1