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llama3-8b-ins-lora-legalai – AI Model by IshatShivhare | AlphaNeural AI
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IshatShivhare
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llama3-8b-ins-lora-legalai
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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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llama3-8b-ins-lora-legalai
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: 0.3356
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: 0.0002
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.5391
0.5323
200
0.5028
0.3958
1.0639
400
0.4011
0.347
1.5961
600
0.3626
0.2871
2.1277
800
0.3464
0.2808
2.6600
1000
0.3356
Framework versions
PEFT 0.17.1
Transformers 4.57.1
Pytorch 2.6.0+cu124
Datasets 4.1.1
Tokenizers 0.22.1
