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output – AI Model by visharxd | AlphaNeural AI
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peft
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generated_from_trainer
meta-llama/Llama-3.1-8B-Instruct
adapter
llama3.1
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output
This model is a fine-tuned version of
meta-llama/Llama-3.1-8B-Instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9369
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: 10
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: constant
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.7803
0.2
100
0.9983
0.8309
0.4
200
0.9897
0.9959
0.6
300
0.9535
1.1158
0.8
400
0.9451
0.9608
1.0
500
0.9369
Framework versions
PEFT 0.11.1
Transformers 4.44.2
Pytorch 2.4.0+cu124
Datasets 3.0.0
Tokenizers 0.19.1
