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ml_sum_v3 – AI Model by mHossain | AlphaNeural AI
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mHossain
/
ml_sum_v3
like
0
transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
mHossain/ml_sum_v2
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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ml_sum_v3
This model is a fine-tuned version of
mHossain/ml_sum_v2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: nan
Rouge1: 0.0
Rouge2: 0.0
Rougel: 0.0
Rougelsum: 0.0
Gen Len: 0.0
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: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
1.0
312
nan
0.0
0.0
0.0
0.0
0.0
0.9648
2.0
625
nan
0.0
0.0
0.0
0.0
0.0
0.9648
3.0
936
nan
0.0
0.0
0.0
0.0
0.0
Framework versions
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
