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tinyllama-1.1b-mt-sft-full_sardine_2gpus_old – AI Model by martimfasantos | AlphaNeural AI

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martimfasantos/
tinyllama-1.1b-mt-sft-full_sardine_2gpus_old

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alignment-handbook

generated_from_trainer

sardinelab/MT-pref

TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T

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tinyllama-1.1b-mt-sft-full_sardine_2gpus_old

This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T 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-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_ratio: 0.1
num_epochs: 2

Training results

Framework versions

Transformers 4.43.3
Pytorch 2.1.2+cu121
Datasets 2.20.0
Tokenizers 0.19.1