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outputs – AI Model by ahmedgongi | AlphaNeural AI
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facebook/opt-125m
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This model is a fine-tuned version of
facebook/opt-125m
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.2068
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: 0.0002
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 20
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.7272
19.92
1240
2.2068
Framework versions
PEFT 0.9.1.dev0
Transformers 4.39.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2
