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mannbot

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

• eval_loss: nan
• eval_rouge1: 3.1117
• eval_rouge2: 1.2565
• eval_rougeL: 2.6879
• eval_rougeLsum: 2.6598
• eval_gen_len: 13.5
• eval_runtime: 3.4029
• eval_samples_per_second: 5.29
• eval_steps_per_second: 0.588
• 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: 0.0001
• train_batch_size: 32
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 100

Framework versions

• Transformers 4.34.1
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1