llama-9b-medal – AI Model by kdsupport | AlphaNeural AI

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kdsupport/
llama-9b-medal

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text-generation

unsloth/llama-3-8b-bnb-4bit

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local_output

This model is a fine-tuned version of unsloth/llama-3-8b-bnb-4bit on the generator dataset. It achieves the following results on the evaluation set:

Loss: 2.2862

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.15
num_epochs: 0.3

Training results

Training Loss	Epoch	Step	Validation Loss
2.3774	0.0336	200	2.3898
2.2855	0.0671	400	2.3340
2.2398	0.1007	600	2.3124
2.2361	0.1343	800	2.2999
2.2173	0.1678	1000	2.2941
2.2081	0.2014	1200	2.2878
2.2108	0.2350	1400	2.2866
2.2091	0.2685	1600	2.2862

Framework versions

PEFT 0.16.0
Transformers 4.53.2
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2