deepseek-coder-6.7b-instruct_finetuned_manim_pile_context_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: 1.4284
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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 460 | 1.4809 |
| 1.5304 | 2.0 | 921 | 1.4426 |
| 1.4605 | 3.0 | 1380 | 1.4284 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
Model tree for pravsels/deepseek-coder-6.7b-instruct_finetuned_manim_pile_context_1024
Base model
deepseek-ai/deepseek-coder-6.7b-instruct