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tinyllama-1.1b-mt-sft-full_new_2gpus – AI Model by martimfasantos | AlphaNeural AI
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martimfasantos
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tinyllama-1.1b-mt-sft-full_new_2gpus
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tensorboard
safetensors
llama
alignment-handbook
trl
sft
generated_from_trainer
haoranxu/ALMA-Human-Parallel
TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
finetune
apache-2.0
us
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tinyllama-1.1b-mt-sft-full_new_2gpus
This model is a fine-tuned version of
TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
on the haoranxu/ALMA-Human-Parallel dataset. It achieves the following results on the evaluation set:
Loss: 1.6968
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: 32
total_train_batch_size: 64
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.5987
0.9959
92
1.6968
Framework versions
Transformers 4.43.3
Pytorch 2.1.2+cu121
Datasets 2.20.0
Tokenizers 0.19.1
