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Llama-3.1-8B-INBioCR-sp-DAPT – AI Model by mariamoracrossitcr | AlphaNeural AI
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Llama-3.1-8B-INBioCR-sp-DAPT
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
meta-llama/Llama-3.1-8B-Instruct
llama3.1
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Llama-3.1-8B-INBioCR-sp-DAPT
This model is a fine-tuned version of
meta-llama/Llama-3.1-8B-Instruct
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9383
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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Use paged_adamw_32bit 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: 0.1
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
1.4708
0.2893
100
1.2704
1.3169
0.5786
200
1.1090
1.2094
0.8678
300
1.0286
1.1371
1.1562
400
0.9777
1.1201
1.4455
500
0.9504
1.0806
1.7348
600
0.9383
Framework versions
PEFT 0.18.0
Transformers 4.57.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.22.1
