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jason-expert-eli5-0.5k-same-ds – AI Model by stillerman | AlphaNeural AI
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jason-expert-eli5-0.5k-same-ds
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transformers
pytorch
gpt_neox
text-generation
generated_from_trainer
eli5
apache-2.0
model-index
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Model card
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layer_9,10,11,12,13
This model is a fine-tuned version of
EleutherAI/pythia-1b-deduped
on the eli5 dataset. It achieves the following results on the evaluation set:
Loss: 2.4496
Accuracy: 0.4952
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: 0.0001
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 500
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
4.3186
5.93
200
4.3850
0.1399
2.7653
11.85
400
2.7820
0.4294
Framework versions
Transformers 4.28.1
Pytorch 2.0.1+rocm5.4.2
Datasets 2.11.0
Tokenizers 0.13.3
Wandb Report
https://wandb.ai/ontocord/jason-test-pythia-1b-deduped-layer-test-eli5/runs/eecbe79c
