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opt-350m-snli-model1 – AI Model by varun-v-rao | AlphaNeural AI
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varun-v-rao
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opt-350m-snli-model1
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transformers
tensorboard
safetensors
opt
text-classification
generated_from_trainer
facebook/opt-350m
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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opt-350m-snli-model1
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: 1.0012
Accuracy: 0.752
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: 256
eval_batch_size: 256
seed: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.33
1.0
2146
0.2674
0.8998
0.2369
2.0
4292
0.2634
0.9070
0.1527
3.0
6438
0.3009
0.9087
Framework versions
Transformers 4.35.2
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.15.0
