Pythia-410m-1200_steps – AI Model by PiyushLavaniya | AlphaNeural AI

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PiyushLavaniya/
Pythia-410m-1200_steps

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text-generation

generated_from_trainer

EleutherAI/pythia-410m

autotrain_compatible

text-generation-inference

endpoints_compatible

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instruction_finetuned_1200_steps

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: 1.1967

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: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
training_steps: 1200

Training results

Training Loss	Epoch	Step	Validation Loss
1.4451	0.05	120	1.2970
1.2442	0.11	240	1.2837
1.2821	0.16	360	1.2557
1.2628	0.21	480	1.2451
1.2579	0.27	600	1.2359
1.3943	0.32	720	1.2239
1.11	0.37	840	1.2141
1.2382	0.43	960	1.2079
1.54	0.48	1080	1.1994
1.0787	0.53	1200	1.1967

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1