flan-t5-small-work-filters

This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.0346
• eval_rouge1: 46.2714
• eval_rouge2: 36.488
• eval_rougeL: 45.9709
• eval_rougeLsum: 45.9674
• eval_gen_len: 18.9753
• eval_runtime: 44.1148
• eval_samples_per_second: 23.87
• eval_steps_per_second: 2.992
• epoch: 5.0
• step: 660

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 50

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.0+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3