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flan-t5-large-wcep10-extracted-sentences – AI Model by Awesome075 | AlphaNeural AI
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flan-t5-large-wcep10-extracted-sentences
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
google/flan-t5-large
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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wcep-flan-t5-large
This model is a fine-tuned version of
google/flan-t5-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 11.5401
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: 16
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
153.7908
0.4391
50
17.2862
138.3394
0.8782
100
14.9564
127.3862
1.3161
150
13.1359
120.2336
1.7552
200
12.1544
115.0450
2.1932
250
11.8273
112.3383
2.6323
300
11.5401
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.3
Tokenizers 0.22.2
