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VarunOPTTest-finetuned-slangQA – AI Model by vrvenkatesh | AlphaNeural AI
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VarunOPTTest-finetuned-slangQA
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transformers
tensorboard
safetensors
opt
text-generation
generated_from_trainer
facebook/opt-350m
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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VarunOPTTest-finetuned-slangQA
This model is a fine-tuned version of
facebook/opt-350m
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.5151
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: 1e-05
train_batch_size: 16
eval_batch_size: 16
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
1.609
1.0
1691
1.5411
1.4713
2.0
3382
1.5151
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
