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RMfLMs – AI Model by digimonke | AlphaNeural AI
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RMfLMs
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safetensors
opt
trl
reward-trainer
generated_from_trainer
facebook/opt-350m
finetune
other
us
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RMfLMs
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: 0.6504
Accuracy: 0.6144
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: 1.41e-05
train_batch_size: 32
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6225
1.0152
500
0.6504
0.6144
Framework versions
Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1
