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starcoder-ft-alpaca-es – AI Model by mrm8488 | AlphaNeural AI
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mrm8488
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starcoder-ft-alpaca-es
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pytorch
tensorboard
generated_from_trainer
bigcode-openrail-m
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starcoder-ft-alpaca-es
This model is a fine-tuned version of
bigcode/starcoder
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9173
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: 0.0003
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.96
0.27
200
0.9572
0.9584
0.55
400
0.9368
0.9635
0.82
600
0.9173
Framework versions
Transformers 4.30.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
