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tinyllama-sft-vicuna-full-rrr1e-01 – AI Model by andrewbai | AlphaNeural AI
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tinyllama-sft-vicuna-full-rrr1e-01
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transformers
safetensors
llama
text-generation
alignment-handbook
trl
sft
generated_from_trainer
conversational
ucla-cmllab/vicuna_cleaned
TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
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tinyllama-sft-vicuna-full-rrr1e-01
This model is a fine-tuned version of
TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
on the ucla-cmllab/vicuna_cleaned dataset. It achieves the following results on the evaluation set:
Loss: 0.7274
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: 2e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 128
total_eval_batch_size: 32
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
0.7112
1.0
732
0.7274
Framework versions
Transformers 4.40.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
