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l3_pt_ALL_data – AI Model by ard2020 | AlphaNeural AI
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ard2020
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l3_pt_ALL_data
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peft
tensorboard
safetensors
trl
sft
unsloth
generated_from_trainer
meta-llama/Meta-Llama-3-8B
adapter
llama3
us
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l3_pt_ALL_data
This model is a fine-tuned version of
meta-llama/Meta-Llama-3-8B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4816
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: 8
eval_batch_size: 4
seed: 3407
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.01
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
0.476
0.8003
1644
0.5334
0.4679
1.6007
3288
0.4984
0.3466
2.4010
4932
0.4764
0.245
3.2014
6576
0.4816
Framework versions
PEFT 0.11.1
Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
