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alpaca-code-java – Dataset by amztheory | AlphaNeural AI
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alpaca-code-java
This model is a fine-tuned version of
tiiuae/falcon-7b-instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.0793
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: 6
eval_batch_size: 6
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 24
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.1092
0.8451
30
1.1258
1.0983
1.6901
60
1.0906
1.0562
2.5352
90
1.0793
Framework versions
PEFT 0.11.1
Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
