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
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Model tree for harveymannering/deepseek-coder-6.7b-instruct-finetuned-manimation
Base model
deepseek-ai/deepseek-coder-6.7b-instruct