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llama3.1_odia_8b_lora_sft_v1.2 – AI Model by sam2ai | AlphaNeural AI
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llama3.1_odia_8b_lora_sft_v1.2
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peft
safetensors
llama-factory
lora
generated_from_trainer
meta-llama/Llama-3.1-8B
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sft
This model is a fine-tuned version of
meta-llama/Meta-Llama-3.1-8B
on the odia_sft dataset. It achieves the following results on the evaluation set:
Loss: 0.4275
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: 0.0001
train_batch_size: 2
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10.0
Training results
Training Loss
Epoch
Step
Validation Loss
0.2064
4.4444
500
0.3316
0.0743
8.8889
1000
0.4199
Framework versions
PEFT 0.11.1
Transformers 4.43.2
Pytorch 2.3.1+rocm6.0
Datasets 2.20.0
Tokenizers 0.19.1
