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astromer_v2_finetuned – AI Model by ashishkgpian | AlphaNeural AI
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ashishkgpian
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astromer_v2_finetuned
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
ashishkgpian/astromer_v2
finetune
text-generation-inference
endpoints_compatible
us
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astromer_v2_finetuned
This model is a fine-tuned version of
ashishkgpian/astromer_v2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.2936
Rouge1: 0.4567
Rouge2: 0.2595
Rougel: 0.4022
Rougelsum: 0.4021
Gen Len: 16.5385
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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
1.2499
1.0
4038
1.2936
0.4567
0.2595
0.4022
0.4021
16.5385
Framework versions
Transformers 4.38.2
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.1