Bloom-1b7-dialogsum-Cont-IT-Step4

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Bloom-1b7-dialogsum-Cont-IT-Step4

This model is a fine-tuned version of alonzogarbanzo/Bloom-1b7-glue-mrpc-Cont-IT-Step3 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: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Final results: {'loss': 0.0255, 'grad_norm': 0.49388185143470764, 'learning_rate': 4.0000000000000003e-07, 'epoch': 10.0}

Average results: {'train_runtime': 1192.3888, 'train_samples_per_second': 1.677, 'train_steps_per_second': 0.419, 'train_loss': 0.5184975152909755, 'epoch': 10.0}

Framework versions

• Transformers 4.38.1
• Pytorch 2.2.0+cu121
• Datasets 2.17.0
• Tokenizers 0.15.2