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llama3-fsdp-qlora – AI Model by philschmid | AlphaNeural AI
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llama3-fsdp-qlora
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
generator
llama3
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llama3-fsdp-qlora
This model is a fine-tuned version of
meta-llama/Meta-Llama-3-70b
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 1.6181
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: 0.0002
train_batch_size: 8
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 2
total_train_batch_size: 128
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.6242
0.9892
46
1.6281
1.5831
2.0
93
1.6165
1.5587
2.9677
138
1.6181
Framework versions
PEFT 0.10.0
Transformers 4.40.0
Pytorch 2.1.0
Datasets 2.18.0
Tokenizers 0.19.1
