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Llama3-8B-Instruct-sft-alfworld – AI Model by cheesewafer | AlphaNeural AI
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Llama3-8B-Instruct-sft-alfworld
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transformers
safetensors
llama
feature-extraction
1910.09700
text-generation-inference
endpoints_compatible
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Llama3-8B-Instruct SFT for ALFWorld
This model is a fine-tuned version of
meta-llama/Meta-Llama-3.1-8B-Instruct
for the ALFWorld environment.
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: 8
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 64
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Framework versions
Transformers 4.45.0
Pytorch 2.1.2
Datasets 3.0.0
Tokenizers 0.20.0
