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mistral-sft-lora-fsdp3 – AI Model by Adil1567 | AlphaNeural AI
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Adil1567
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mistral-sft-lora-fsdp3
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
meta-llama/Llama-3.1-70B-Instruct
adapter
llama3.1
us
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mistral-sft-lora-fsdp3
This model is a fine-tuned version of
meta-llama/Llama-3.1-70B-Instruct
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3421
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: 100
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 32
total_eval_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
training_steps: 857
Training results
Training Loss
Epoch
Step
Validation Loss
0.3553
0.9988
427
0.3784
0.2661
2.0
855
0.3421
Framework versions
PEFT 0.14.0
Transformers 4.45.2
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.1
