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eLM-NeMo-12B-128K-LoRA-v02

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train_2024-07-23-14-22-12

This model is a fine-tuned version of alsokit/unsloth-mistral-Nemo-it-2407-merged on the dataset_alpaca_IT_train_and_eval_25K.json dataset.

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: 5e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 16
total_train_batch_size: 32
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 50
num_epochs: 1.0

Training results

Framework versions

PEFT 0.11.1
Transformers 4.43.0.dev0
Pytorch 2.3.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

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Base model

alsokit/unsloth-mistral-Nemo-it-2407-merged

Adapter

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Evaluation results

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