amtibot_pegasus

josiahgottfried/amtibot_pegasus

amtibot_pegasus is a machine learning model from josiahgottfried. 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 peft.

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

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Hugging Face

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At a glance

Library: peft
Access: Public
Created: Apr 27, 2024
Updated: Apr 27, 2024
SHA: 2bb325f2

Base models

google/pegasus-cnn_dailymail

Model card

From the Hugging Face model README

amtibot_pegasus

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

Loss: 1.7407
Rouge1: 0.4605
Rouge2: 0.2395
Rougel: 0.3705
Rougelsum: 0.3708
Gen Len: 38.2468

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: 0.02
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	0.9351	9	2.0456	0.4419	0.2278	0.3636	0.3641	37.7013
No log	1.9740	19	1.8250	0.4601	0.2424	0.3764	0.3765	38.2597
No log	2.9091	28	1.7724	0.4638	0.2365	0.3724	0.372	36.5195
No log	3.7403	36	1.7407	0.4605	0.2395	0.3705	0.3708	38.2468

Framework versions

PEFT 0.4.0
Transformers 4.40.1
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.19.1

Library: peft
Created: Apr 27, 2024
Updated: Apr 27, 2024