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reward_modeling_anthropic_hh_crc – AI Model by qgallouedec | AlphaNeural AI
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reward_modeling_anthropic_hh_crc
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safetensors
opt
trl
reward-trainer
generated_from_trainer
facebook/opt-350m
finetune
other
us
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reward_modeling_anthropic_hh_crc
This model is a fine-tuned version of
facebook/opt-350m
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6164
Accuracy: 0.6643
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: 16
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 2
total_train_batch_size: 256
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6282
0.8696
500
0.6164
0.6643
Framework versions
Transformers 4.44.0
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
