bart-large-xsum-finetuned-sst2 – AI Model by ShushantLLM | AlphaNeural AI

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ShushantLLM/
bart-large-xsum-finetuned-sst2

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text2text-generation

generated_from_trainer

facebook/bart-large-xsum

endpoints_compatible

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bart-large-xsum-finetuned-sst2

This model is a fine-tuned version of facebook/bart-large-xsum on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4333
Rouge1: 0.5389
Rouge2: 0.2841
Rougel: 0.4406
Rougelsum: 0.4935

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
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
0.3028	1.0	920	0.3135	0.5331	0.2844	0.4417	0.4908
0.2301	2.0	1841	0.3304	0.5371	0.2878	0.4393	0.4936
0.1626	3.0	2762	0.3395	0.5415	0.2907	0.4503	0.4978
0.112	4.0	3683	0.3898	0.5415	0.2830	0.4406	0.4952
0.0747	5.0	4600	0.4333	0.5389	0.2841	0.4406	0.4935

Framework versions

Transformers 4.38.1
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2