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TTCS – AI Model by qap0310 | AlphaNeural AI
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qap0310
/
TTCS
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transformers
tensorboard
safetensors
mbart
text2text-generation
generated_from_trainer
qap0310/TTCS
finetune
endpoints_compatible
us
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TTCS
This model is a fine-tuned version of
qap0310/TTCS
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1167
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: 3e-05
train_batch_size: 8
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 128
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
training_steps: 250
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.4930
1.0
250
0.1167
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2
