bloomz-560m_fine_lr5e-05_bs4_epoch20_wd0.01 – AI Model by jysssacc | AlphaNeural AI

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jysssacc/
bloomz-560m_fine_lr5e-05_bs4_epoch20_wd0.01

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text-generation

generated_from_trainer

bigscience/bloomz-560m

bigscience-bloom-rail-1.0

autotrain_compatible

text-generation-inference

endpoints_compatible

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bloomz-560m_fine_lr5e-05_bs4_epoch20_wd0.01

This model is a fine-tuned version of bigscience/bloomz-560m on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 11.2503

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
3.6412	1.0	157	3.6601
2.5683	2.0	314	4.5891
1.8204	3.0	471	5.0154
2.5022	4.0	628	5.6442
1.6245	5.0	785	6.2936
0.8665	6.0	942	6.3147
0.6814	7.0	1099	6.6231
0.4828	8.0	1256	6.6090
0.4391	9.0	1413	6.3674
0.3401	10.0	1570	7.1139
0.3278	11.0	1727	7.1027
0.289	12.0	1884	7.4807
0.2523	13.0	2041	7.6643
0.2347	14.0	2198	8.2786
0.2127	15.0	2355	8.5955
0.2141	16.0	2512	9.5416
0.1931	17.0	2669	9.5192
0.1823	18.0	2826	10.4644
0.1702	19.0	2983	10.9266
0.1603	20.0	3140	11.2503

Framework versions

Transformers 4.36.2
Pytorch 2.0.1
Datasets 2.16.1
Tokenizers 0.15.0