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mannbot – Dataset by riddhiparakh | AlphaNeural AI

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riddhiparakh/
mannbot

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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