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litbank-coref-mem-xl-3 – AI Model by eddieman78 | AlphaNeural AI
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litbank-coref-mem-xl-3
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
google/flan-t5-xl
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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litbank-coref-mem-xl-3
This model is a fine-tuned version of
google/flan-t5-xl
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0018
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: 8
seed: 42
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.4065
0.5855
500
0.0099
0.0116
1.1710
1000
0.0054
0.0075
1.7564
1500
0.0035
0.0051
2.3419
2000
0.0023
0.0041
2.9274
2500
0.0018
Framework versions
Transformers 4.50.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
