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medusa-llama3.1-8b-sharegpt-stage2 – AI Model by seliny2 | AlphaNeural AI
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medusa-llama3.1-8b-sharegpt-stage2
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peft
safetensors
llama
generated_from_trainer
meta-llama/Llama-3.1-8B
adapter
llama3.1
us
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Model card
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Built with Axolotl
work1/deming/shared/medusa-llama3.1-8b-axolotl-stage2
This model is a fine-tuned version of
meta-llama/Llama-3.1-8B
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.8320
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: 0.0005
train_batch_size: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 16
total_eval_batch_size: 16
optimizer: Use adamw_bnb_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 20
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
3.8262
0.1487
40
3.6953
3.3894
0.2974
80
3.3145
3.1755
0.4461
120
3.1328
3.0369
0.5948
160
2.9805
2.7292
0.7435
200
2.8809
2.6692
0.8922
240
2.8320
Framework versions
PEFT 0.14.0
Transformers 4.48.0
Pytorch 2.5.1+rocm6.2
Datasets 3.2.0
Tokenizers 0.21.1
