Malawi-Public-Health-Systems – AI Model by Joshua-Abok | AlphaNeural AI | AlphaNeural AI

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Joshua-Abok/
Malawi-Public-Health-Systems

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text-generation

generated_from_trainer

EleutherAI/pythia-410m

autotrain_compatible

text-generation-inference

endpoints_compatible

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Malawi-Public-Health-Systems

This model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.9453

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 400
total_train_batch_size: 400
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss
0.1272	71.32	120	3.2478
0.1003	142.64	240	3.6082
0.1017	213.97	360	3.7057
0.1001	285.29	480	3.7969
0.0949	356.61	600	3.8484
0.0984	427.93	720	3.8783
0.0956	499.26	840	3.9172
0.0955	570.58	960	3.9453

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2