metadata
base_model: Salesforce/codegen-350M-multi
library_name: peft
license: bsd-3-clause
tags:
- generated_from_trainer
model-index:
- name: arduino-fine_tuned
results: []
arduino-fine_tuned
This model is a fine-tuned version of Salesforce/codegen-350M-multi on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2232
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5517 | 0.9964 | 140 | 0.3323 |
| 0.3111 | 2.0 | 281 | 0.2730 |
| 0.2641 | 2.9964 | 421 | 0.2525 |
| 0.2342 | 4.0 | 562 | 0.2399 |
| 0.2181 | 4.9964 | 702 | 0.2317 |
| 0.1998 | 6.0 | 843 | 0.2298 |
| 0.1897 | 6.9964 | 983 | 0.2242 |
| 0.1766 | 8.0 | 1124 | 0.2231 |
| 0.1694 | 8.9964 | 1264 | 0.2222 |
| 0.1606 | 9.9644 | 1400 | 0.2232 |
Framework versions
- PEFT 0.12.0
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1