my-t5-summarization-model – AI Model by rutvikd0512 | AlphaNeural AI

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my-t5-summarization-model

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google-t5/t5-base

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my-t5-summarization-model

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

Loss: 0.2478

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: 1e-05
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: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
17.2263	1.0	74	20.5598
10.8174	2.0	148	12.3219
2.9638	3.0	222	0.6010
1.4073	4.0	296	0.2598
1.1503	5.0	370	0.2604
1.5418	6.0	444	0.2595
0.6755	7.0	518	0.2574
0.833	8.0	592	0.2550
0.5194	9.0	666	0.2549
0.7579	10.0	740	0.2553
0.6712	11.0	814	0.2545
0.6565	12.0	888	0.2540
0.262	13.0	962	0.2529
0.3144	14.0	1036	0.2518
0.6226	15.0	1110	0.2509
0.5695	16.0	1184	0.2498
0.2856	17.0	1258	0.2490
0.2869	18.0	1332	0.2484
0.6049	19.0	1406	0.2480
0.6421	20.0	1480	0.2478

Framework versions

PEFT 0.12.0
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1