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byt5-base-1e4-jit-tagged-7epochs-jamoparams-a100-chunked-bs8-ga16-eb128 – AI Model by jinx2321 | AlphaNeural AI
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jinx2321
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byt5-base-1e4-jit-tagged-7epochs-jamoparams-a100-chunked-bs8-ga16-eb128
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
google/byt5-base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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byt5-base-1e4-jit-tagged-7epochs-jamoparams-a100-chunked-bs8-ga16-eb128
This model is a fine-tuned version of
google/byt5-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.0111
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: 8
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
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: inverse_sqrt
lr_scheduler_warmup_steps: 4000
num_epochs: 7
label_smoothing_factor: 0.1
Training results
Training Loss
Epoch
Step
Validation Loss
1.1145
1.0
2507
1.0737
1.055
2.0
5014
1.0367
1.0322
3.0
7521
1.0224
1.0187
4.0
10028
1.0160
1.0097
5.0
12535
1.0129
1.0021
6.0
15042
1.0108
0.9956
7.0
17549
1.0111
Framework versions
Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.22.1
