1.3b-dalio-principles-book – AI Model by AlekseyKorshuk | AlphaNeural AI

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AlekseyKorshuk/
1.3b-dalio-principles-book

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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1.3b-dalio-principles-book

This model is a fine-tuned version of facebook/opt-1.3b on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.4512
Accuracy: 0.4741

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: 7e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 8
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.6914	0.14	1	2.6895	0.4477
2.6897	0.29	2	2.6895	0.4477
2.668	0.43	3	2.7031	0.4403
2.7434	0.57	4	2.5918	0.4533
2.6265	0.71	5	2.5410	0.4618
2.5259	0.86	6	2.5156	0.4641
2.5566	1.0	7	2.4902	0.4667
2.2317	1.14	8	2.4766	0.4707
2.2397	1.29	9	2.4727	0.4705
2.0162	1.43	10	2.4766	0.4690
2.0537	1.57	11	2.4805	0.4707
2.1432	1.71	12	2.4707	0.4714
2.0822	1.86	13	2.4570	0.4724
1.9056	2.0	14	2.4512	0.4741

Framework versions

Transformers 4.25.0.dev0
Pytorch 1.12.1+cu113
Datasets 2.3.2
Tokenizers 0.12.1