test

srikant-personal/test

test is a machine learning model from srikant-personal. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Jun 1, 2023
Updated: Jun 1, 2023
SHA: 2c7e7964

Datasets

samsum

Model card

From the Hugging Face model README

test

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

Loss: 1.4073
Rouge1: 47.697
Rouge2: 22.4202
Rougel: 39.7706
Rougelsum: 43.9975
Gen Len: 17.4

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	0.96	15	1.4247	47.3573	22.6495	39.4919	43.7222	17.29
No log	1.98	31	1.4103	47.6181	22.9152	39.9759	43.9923	17.52
No log	2.94	46	1.4079	46.9127	22.0069	39.1927	43.296	17.44
No log	3.97	62	1.4074	47.7178	22.552	39.8294	44.0775	17.42
No log	4.8	75	1.4073	47.697	22.4202	39.7706	43.9975	17.4

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: Jun 1, 2023
Updated: Jun 1, 2023