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paulh27/xsum_unaligned_smallT5

Name: paulh27/xsum_unaligned_smallT5
Author: paulh27

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Abliteration classifier · v1.0.0

Primary method

Unclassified

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Confidence

UNKNOWN

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Downloads · 30-day

↑ 14,450% in 90 days

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Model age

2.5y ago

created 2024-04-15

Downloads over time

Jul 24, 2024 → Oct 11 · 155 snapshots · spans 809 days

Genealogy 0 direct forks

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This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

google-t5/t5-small this lineage

paulh27/xsum_unaligned_smallT5↓ 23

Metadata

License

apache-2.0

Files by quantization

Auxiliary files 10 files 234 MB

model.safetensors	231 MB	e2167f55	download
training_args.bin	4.99 KB	0d6eb6e9	download
tokenizer.json	2.31 MB	1416b86c	download
spiece.model	773 KB	d60acb12	download
tokenizer_config.json	20.3 KB	6975fae9	download
special_tokens_map.json	2.48 KB	17ade346	download
.gitattributes	1.48 KB	a6344aac	download
config.json	1.48 KB	cce6ce80	download
README.md	1.17 KB	a6b90050	download
generation_config.json	142 B	f98f87ce	download

README current version from Hugging Face

license: apache-2.0
base_model: google-t5/t5-small
tags:

summarization
generated_from_trainer
model-index:
name: xsum_unaligned_smallT5
results: []

xsum_unaligned_smallT5

This model is a fine-tuned version of google-t5/t5-small on an unknown dataset.

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: 0.0002
train_batch_size: 8
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 200000
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2

README history 2 versions

The author's README evolved over time. Click a version to see its content at that point.

2024-04-16Training completec1b140d1.2 KB
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2024-04-15Training completec7df7182 KB
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paulh27/xsum_unaligned_smallT5

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Unclassified

Genealogy 0 direct forks

Metadata

Related

Files by quantization

README current version from Hugging Face

xsum_unaligned_smallT5

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

README history 2 versions

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