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tinyllama-ft-codeAlpaca-adapter – AI Model by mrm8488 | AlphaNeural AI
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tinyllama-ft-codeAlpaca-adapter
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safetensors
generated_from_trainer
generator
unsloth/tinyllama-bnb-4bit
finetune
apache-2.0
us
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tinyllama-bnb-4bit-ft-codeAlpaca
This model is a fine-tuned version of
unsloth/tinyllama-bnb-4bit
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 0.7926
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: 4
eval_batch_size: 8
seed: 3407
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
1.1517
0.83
50
1.1598
0.9428
1.65
100
0.9327
0.8319
2.48
150
0.8448
0.8205
3.31
200
0.8102
0.7977
4.13
250
0.7966
0.763
4.96
300
0.7926
Framework versions
Transformers 4.37.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
