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byt5-base-ko-1e4-jit-20epochs-a100-jamoparams-schcosine-wr0.05-lr5e-4-dr0.10-rm1-bs2-ga64-eb128 – AI Model by jinx2321 | AlphaNeural AI
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byt5-base-ko-1e4-jit-20epochs-a100-jamoparams-schcosine-wr0.05-lr5e-4-dr0.10-rm1-bs2-ga64-eb128
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
en
google/byt5-base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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byt5-base-ko-1e4-jit-20epochs-a100-jamoparams-schcosine-wr0.05-lr5e-4-dr0.10-rm1-bs2-ga64-eb128
This model is a fine-tuned version of
google/byt5-base
on an unknown dataset. It achieves the following results on the evaluation set:
epoch: 8.0
eval_loss: 0.9879
eval_runtime: 53.2533
eval_samples_per_second: 93.891
eval_steps_per_second: 23.473
step: 10024
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: 0.0005
train_batch_size: 2
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 64
total_train_batch_size: 128
optimizer: Use adamw_torch with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 20
label_smoothing_factor: 0.1
Framework versions
Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.22.1
