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selfrag-lora – AI Model by Mousaicv | AlphaNeural AI
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Mousaicv
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selfrag-lora
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transformers
safetensors
mistral
text-generation
alignment-handbook
generated_from_trainer
conversational
gpt4_reward_with_format
autotrain_compatible
text-generation-inference
endpoints_compatible
4-bit
bitsandbytes
us
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zephyr-7b-sft-lora
This model is a fine-tuned version of zephyr-7b on the gpt4_reward. It achieves the following results on the evaluation set:
Loss: 0.0911
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: 2e-05
train_batch_size: 3
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 64
total_train_batch_size: 192
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.1001
1.0
219
0.1006
0.0969
2.0
439
0.0930
0.0795
2.99
657
0.0911
Framework versions
Transformers 4.35.0
Pytorch 2.1.1+cu121
Datasets 2.14.6
Tokenizers 0.14.1
