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ml_sum_v1 – AI Model by mHossain | AlphaNeural AI
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mHossain
/
ml_sum_v1
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
mHossain/Albaniani_sum_v1
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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ml_sum_v1
This model is a fine-tuned version of
mHossain/Albaniani_sum_v1
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.2080
Rouge1: 6.9869
Rouge2: 2.6256
Rougel: 6.4271
Rougelsum: 6.8073
Gen Len: 19.0
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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5000
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
1.0
312
2.5009
5.4872
1.8136
5.032
5.3296
18.985
3.2952
2.0
624
2.2080
6.9869
2.6256
6.4271
6.8073
19.0
Framework versions
Transformers 4.38.1
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
