flan-t5-base-merged – AI Model by tanishq1420 | AlphaNeural AI

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tanishq1420/
flan-t5-base-merged

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text2text-generation

generated_from_trainer

google/flan-t5-base

text-generation-inference

endpoints_compatible

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flan-t5-base-merged

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

Loss: 1.9282
Rouge1: 0.4675
Rouge2: 0.1579
Rougel: 0.4313
Bertscore: 0.8652
Readability: 13.1666

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: 0.0001
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: cosine
lr_scheduler_warmup_ratio: 0.06
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Bertscore	Readability
2.1647	1.0	3640	2.0145	0.4602	0.1545	0.4236	0.8626	13.5465
2.0892	2.0	7280	1.9591	0.4620	0.1549	0.4259	0.8636	13.3182
2.0151	3.0	10920	1.9376	0.4663	0.1571	0.4301	0.8648	13.2234
1.9793	4.0	14560	1.9282	0.4699	0.1599	0.4337	0.8656	13.1966
1.9679	5.0	18200	1.9269	0.4683	0.1583	0.4313	0.8653	13.2824

Framework versions

Transformers 4.35.2
Pytorch 2.2.1
Datasets 2.19.0
Tokenizers 0.15.2