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pythia-160m-roya1.9.3-E4 – AI Model by h0ssn | AlphaNeural AI
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pythia-160m-roya1.9.3-E4
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transformers
tensorboard
safetensors
gpt_neox
text-generation
trl
sft
generated_from_trainer
EleutherAI/pythia-160m
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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pythia-160m-roya1.9.3
This model is a fine-tuned version of
EleutherAI/pythia-160m
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.2750
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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.05
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
3.0674
1.5984
500
3.1594
2.6136
3.1952
1000
3.2750
Framework versions
Transformers 4.48.0
Pytorch 2.6.0.dev20241231+cu118
Datasets 3.0.2
Tokenizers 0.21.0
