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byt5-base-akkadian – AI Model by notninja | AlphaNeural AI
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byt5-base-akkadian
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
text-generation-inference
endpoints_compatible
us
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byt5-base-akkadian
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4077
Chrf: 5.1853
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: 0.0002
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Chrf
0.3301
1.0
351
0.4143
4.6952
0.2464
2.0
702
0.3996
5.0438
0.2077
3.0
1053
0.3967
5.1989
0.1488
4.0
1404
0.4077
5.1853
Framework versions
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.4.1
Tokenizers 0.22.1
