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opt_finetuned – AI Model by danieladeeko | AlphaNeural AI
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opt_finetuned
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peft
tensorboard
safetensors
generated_from_trainer
facebook/opt-6.7b
adapter
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opt_finetuned
This model is a fine-tuned version of
facebook/opt-6.7b
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.7169
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.7961
0.9989
437
2.7176
2.9806
2.0
875
2.7131
2.6382
2.9989
1312
2.7142
2.6705
3.9954
1748
2.7169
Framework versions
PEFT 0.12.1.dev0
Transformers 4.45.0.dev0
Pytorch 2.4.0+cu121
Datasets 3.0.0
Tokenizers 0.19.1
