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ProactiveAgentFlat – AI Model by justinkim829 | AlphaNeural AI | AlphaNeural AI
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ProactiveAgentFlat
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transformers
safetensors
llama
text-generation
llama-factory
full
generated_from_trainer
conversational
meta-llama/Meta-Llama-3-8B-Instruct
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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This model is a fine-tuned version of
/bjzhyai03/workhome/luyaxi/Meta-Llama-3.1-8B-Instruct/
on the active_rmllama dataset. It achieves the following results on the evaluation set:
Loss: 1.4812
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: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 32
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10.0
Training results
Training Loss
Epoch
Step
Validation Loss
0.0147
8.0972
500
1.3433
Framework versions
Transformers 4.44.2
Pytorch 2.4.1
Datasets 2.21.0
Tokenizers 0.19.1
