cpp_and_text_pythia_410m – AI Model by gbemilekeonilude | AlphaNeural AI

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cpp_and_text_pythia_410m

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EleutherAI/pythia-410m

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cpp_and_text_pythia_410m

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: 1.6227
Accuracy: 0.1571
Num Input Tokens Seen: 1941504

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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 8
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Input Tokens Seen
No log	0	0	2.5907	0.3	0
1.9728	0.6329	50	2.3924	0.1857	409600
1.6016	1.2658	100	1.9394	0.1429	819200
1.7223	1.8987	150	1.6300	0.1429	1228800
1.6031	2.5316	200	1.6227	0.1571	1638400

Framework versions

Transformers 4.43.2
Pytorch 2.4.0
Datasets 2.20.0
Tokenizers 0.19.1