opt-350m_fine_lr5e-05_bs4_epoch20_wd0.01 – AI Model by jysssacc | AlphaNeural AI

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jysssacc/
opt-350m_fine_lr5e-05_bs4_epoch20_wd0.01

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text-generation

generated_from_trainer

facebook/opt-350m

autotrain_compatible

text-generation-inference

endpoints_compatible

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opt-350m_fine_lr5e-05_bs4_epoch20_wd0.01

This model is a fine-tuned version of facebook/opt-350m on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 6.4402

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: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
3.6861	1.0	157	3.5351
2.8315	2.0	314	3.7727
1.9912	3.0	471	4.1666
1.4737	4.0	628	4.4532
1.1977	5.0	785	4.9565
0.8678	6.0	942	4.9429
0.8014	7.0	1099	5.3148
0.685	8.0	1256	5.4586
0.6793	9.0	1413	5.3924
0.6246	10.0	1570	5.6821
0.5972	11.0	1727	5.8316
0.5604	12.0	1884	5.8977
0.5404	13.0	2041	6.0070
0.5375	14.0	2198	5.9317
0.5035	15.0	2355	6.1104
0.5088	16.0	2512	6.2142
0.4827	17.0	2669	6.1858
0.4744	18.0	2826	6.3306
0.4641	19.0	2983	6.3937
0.4531	20.0	3140	6.4402

Framework versions

Transformers 4.36.2
Pytorch 2.0.1
Datasets 2.16.1
Tokenizers 0.15.0