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reward-model-v3 – AI Model by anhnv125 | AlphaNeural AI | AlphaNeural AI
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reward-model-v3
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transformers
safetensors
gpt2
text-classification
generated_from_trainer
ChaiML/reward_models_100_170000000_cp_498032
finetune
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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reward-model-v3
This model is a fine-tuned version of
ChaiML/reward_models_100_170000000_cp_498032
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5182
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: 1e-05
train_batch_size: 3
eval_batch_size: 3
seed: 7
gradient_accumulation_steps: 16
total_train_batch_size: 48
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 200
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.534
1.0
417
0.5333
0.4919
2.0
834
0.5192
0.4681
3.0
1251
0.5182
Framework versions
Transformers 4.36.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.15.0
Tokenizers 0.15.0
