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tihon-nth/
gpt-2-4096t-scratch-10ep_

Name: gpt-2-4096t-scratch-10ep_
Availability: InStock

generated_from_trainer

tihon-nth/gpt-2-4096t-scratch-10ep_

finetune

text-generation-inference

endpoints_compatible

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gpt-2-4096t-scratch-10ep_

This model is a fine-tuned version of tihon-nth/gpt-2-4096t-scratch-10ep_ on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.4516

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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.05
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
3.8688	1.0	6414	3.7689
3.7603	2.0	12828	3.6716
3.6786	3.0	19242	3.6033
3.6187	4.0	25656	3.5504
3.5678	5.0	32070	3.5153
3.5448	6.0	38484	3.4841
3.5065	7.0	44898	3.4649
3.4998	8.0	51312	3.4578
3.4859	9.0	57726	3.4518
3.4872	10.0	64140	3.4516

Framework versions

Transformers 5.8.0
Pytorch 2.11.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2