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opt-350m-finetuned-slangQA – AI Model by vrvenkatesh | AlphaNeural AI
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vrvenkatesh
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opt-350m-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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opt-350m-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: 3.0236
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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
3.2105
1.0
1020
3.1122
2.7784
2.0
2040
3.0349
2.5066
3.0
3060
3.0236
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
