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deepseek-coder-6.7b-instruct_finetuned_manim_pile_context_FIM_1024 – AI Model by pravsels | AlphaNeural AI
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deepseek-coder-6.7b-instruct_finetuned_manim_pile_context_FIM_1024
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deepseek-coder-6.7b-instruct_finetuned_manim_pile_context_FIM_1024
This model is a fine-tuned version of
deepseek-ai/deepseek-coder-6.7b-instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.6405
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
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
462
1.6572
1.6976
2.0
925
1.6421
1.63
3.0
1387
1.6406
1.6295
4.0
1850
1.6405
1.6256
4.99
2310
1.6405
Framework versions
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
