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EuroLLM-1.7B-Instruct-SLiC – AI Model by martimfasantos | AlphaNeural AI

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martimfasantos/
EuroLLM-1.7B-Instruct-SLiC

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sardinelab/MT-pref

utter-project/EuroLLM-1.7B-Instruct

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EuroLLM-1.7B-Instruct-SLiC

This model is a fine-tuned version of utter-project/EuroLLM-1.7B-Instruct on the sardinelab/MT-pref 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: 1e-07
train_batch_size: 1
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 32
total_train_batch_size: 128
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Framework versions

Transformers 4.43.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1