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finetuned_byT5base_kmr_joint – AI Model by Tsedeniya | AlphaNeural AI
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Tsedeniya
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finetuned_byT5base_kmr_joint
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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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finetuned_byT5base_kmr_joint
This model is a fine-tuned version of
google/byt5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.0225
Chrf++: 11.2904
Gen Len: 188.3176
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: 5e-05
train_batch_size: 8
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
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: linear
num_epochs: 100
Training results
Training Loss
Epoch
Step
Validation Loss
Chrf++
Gen Len
27.1680
100.0
100
2.0225
11.2904
188.3176
Framework versions
Transformers 5.5.0
Pytorch 2.11.0+cu130
Datasets 4.3.0
Tokenizers 0.22.2
