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gemma_2b_oasst1_reward_model – AI Model by DarshanDeshpande | AlphaNeural AI
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DarshanDeshpande
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gemma_2b_oasst1_reward_model
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peft
safetensors
trl
reward-trainer
generated_from_trainer
google/gemma-2b
adapter
other
us
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gemma_2b_oasst1_reward_model
This model is a fine-tuned version of
google/gemma-2b
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4345
Accuracy: 0.8051
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: 0.0005
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.5106
1.0
100
0.5843
0.7203
0.4299
2.0
200
0.4418
0.7825
0.5035
2.99
300
0.4345
0.8051
Framework versions
PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
