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olmo-1b-4k-93k-hellaswag-sft-concat-v2 – AI Model by jungsin3 | AlphaNeural AI

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jungsin3/
olmo-1b-4k-93k-hellaswag-sft-concat-v2

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text-generation

generated_from_trainer

jungsin3/olmo-1b-4k-93k

autotrain_compatible

endpoints_compatible

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olmo-1b-4k-93k-hellaswag-sft-concat-v2

This model is a fine-tuned version of jungsin3/olmo-1b-4k-93k on an unknown dataset.

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: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 16
total_eval_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: linear
num_epochs: 1

Training results

Framework versions

Transformers 4.55.4
Pytorch 2.5.1+cu121
Datasets 4.0.0
Tokenizers 0.21.4