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finetuned_byT5large_multi – AI Model by Tsedeniya | AlphaNeural AI
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Tsedeniya
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finetuned_byT5large_multi
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
google/byt5-large
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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finetuned_byT5large_multi
This model is a fine-tuned version of
google/byt5-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7354
Chrf++: 55.9688
Gen Len: 132.9647
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: 4
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
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: 13
Training results
Training Loss
Epoch
Step
Validation Loss
Chrf++
Gen Len
1.4718
1.9986
2106
0.5570
60.5937
107.8111
0.9825
3.9967
4212
0.6283
60.2458
112.5978
0.9172
5.9948
6318
0.6607
59.3436
116.7028
0.8266
7.9929
8424
0.7354
55.9688
132.9647
Framework versions
Transformers 5.5.0
Pytorch 2.11.0+cu130
Datasets 4.3.0
Tokenizers 0.22.2
