c_and_text_pythia_410m – AI Model by gbemilekeonilude | AlphaNeural AI

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c_and_text_pythia_410m

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EleutherAI/pythia-410m

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c_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: 1.6850
Accuracy: 0.1429
Num Input Tokens Seen: 1638400

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	2.5507	0.2714	0
1.6445	0.6329	50	2.0297	0.1714	409600
1.5984	1.2658	100	2.0343	0.1714	819200
1.5286	1.8987	150	1.8339	0.1429	1228800
1.6245	2.5316	200	1.6850	0.1429	1638400

Framework versions

Transformers 4.43.2
Pytorch 2.4.0
Datasets 2.20.0
Tokenizers 0.19.1