README.md

metadata

base_model: liamvbetts/t5-small-finetuned-2024-03-17
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: t5-small-finetuned-2024-03-18
    results: []

t5-small-finetuned-2024-03-18

This model is a fine-tuned version of liamvbetts/t5-small-finetuned-2024-03-17 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.3412
• Rouge1: 42.2216
• Rouge2: 30.5944
• Rougel: 39.273
• Rougelsum: 39.1457
• Gen Len: 18.7386

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: 4e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.8771	1.0	349	1.3412	42.2216	30.5944	39.273	39.1457	18.7386

Framework versions

• Transformers 4.39.3
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2