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output – AI Model by AravindAct | AlphaNeural AI
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AravindAct
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output
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transformers
pytorch
tensorboard
llama
text-generation
generated_from_trainer
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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output
This model is a fine-tuned version of
decapoda-research/llama-7b-hf
on the None dataset. It achieves the following results on the evaluation set:
Loss: nan
Rouge2 Precision: 0.0762
Rouge2 Recall: 0.0182
Rouge2 Fmeasure: 0.029
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge2 Precision
Rouge2 Recall
Rouge2 Fmeasure
No log
1.0
63
nan
0.0762
0.0182
0.029
No log
2.0
126
nan
0.0762
0.0182
0.029
Framework versions
Transformers 4.28.0.dev0
Pytorch 2.0.0+cu117
Datasets 2.10.1
Tokenizers 0.13.2
