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opt-125m-finetuned-mnli – AI Model by velaa | AlphaNeural AI
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velaa
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opt-125m-finetuned-mnli
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transformers
tensorboard
safetensors
opt
text-classification
generated_from_trainer
glue
facebook/opt-125m
finetune
other
model-index
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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opt-125m-finetuned-mnli
This model is a fine-tuned version of
facebook/opt-125m
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 1.7566
Accuracy: 0.3552
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-06
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0726
1.0
1
1.7835
0.3536
0.1157
2.0
2
1.7566
0.3552
0.0624
3.0
3
1.7372
0.3548
0.07
4.0
4
1.7249
0.3544
0.0689
5.0
5
1.7189
0.3545
Framework versions
Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
