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deepseek-coder-6.7b-instruct-finetuned-manimation – AI Model by harveymannering | AlphaNeural AI
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deepseek-coder-6.7b-instruct-finetuned-manimation
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transformers
tensorboard
safetensors
llama
text-generation
generated_from_trainer
deepseek-ai/deepseek-coder-6.7b-instruct
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
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deepseek-coder-6.7b-instruct-finetuned-manimation
This model is a fine-tuned version of
deepseek-ai/deepseek-coder-6.7b-instruct
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7531
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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
0.9542
1.0
682
0.8080
0.8056
2.0
1364
0.7623
0.7575
3.0
2046
0.7531
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
