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llama3-8b-kasa-alpaca-11-v2 – AI Model by klcsp | AlphaNeural AI
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klcsp
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llama3-8b-kasa-alpaca-11-v2
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peft
tensorboard
safetensors
llama
trl
sft
generated_from_trainer
generator
meta-llama/Meta-Llama-3-8B
adapter
llama3
us
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llama3-8b-kasa-alpaca-11-v2
This model is a fine-tuned version of
meta-llama/Meta-Llama-3-8B
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 1.8275
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: 0.0003
train_batch_size: 16
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 2
total_train_batch_size: 256
total_eval_batch_size: 128
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.9153
0.9927
68
1.8275
Framework versions
PEFT 0.13.1.dev0
Transformers 4.46.3
Pytorch 2.3.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
