| | --- |
| | license: bigcode-openrail-m |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: starcoder-ft-alpaca-es-v3 |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # starcoder-ft-alpaca-es-v3 |
| |
|
| | This model is a fine-tuned version of [bigcode/starcoder](https://huggingface.co/bigcode/starcoder) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: nan |
| |
|
| | ## 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: 2 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 1.0117 | 0.27 | 200 | 0.9912 | |
| | | 1.0515 | 0.55 | 400 | 1.0008 | |
| | | 1.0981 | 0.82 | 600 | 1.0197 | |
| | | 657.1807 | 1.1 | 800 | nan | |
| | | 2927.9309 | 1.37 | 1000 | nan | |
| | | 409.511 | 1.64 | 1200 | nan | |
| | | 593.4789 | 1.92 | 1400 | nan | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.30.0.dev0 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.12.0 |
| | - Tokenizers 0.13.3 |
| | |
