|
--- |
|
license: apache-2.0 |
|
library_name: peft |
|
tags: |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
base_model: petals-team/falcon-rw-1b |
|
model-index: |
|
- name: falcon-code-generation-llm |
|
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. --> |
|
|
|
# falcon-code-generation-llm |
|
|
|
This model is a fine-tuned version of [petals-team/falcon-rw-1b](https://huggingface.co/petals-team/falcon-rw-1b) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.8328 |
|
|
|
## 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: 2 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 4 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_ratio: 0.03 |
|
- training_steps: 320 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 2.1898 | 0.1 | 20 | 1.9930 | |
|
| 2.0474 | 0.2 | 40 | 1.9372 | |
|
| 1.8768 | 0.3 | 60 | 1.9180 | |
|
| 2.0356 | 0.4 | 80 | 1.8915 | |
|
| 1.946 | 0.5 | 100 | 1.9185 | |
|
| 1.9219 | 0.6 | 120 | 1.8740 | |
|
| 1.973 | 0.7 | 140 | 1.8762 | |
|
| 1.8046 | 0.8 | 160 | 1.8549 | |
|
| 1.8934 | 0.9 | 180 | 1.8451 | |
|
| 1.8365 | 1.0 | 200 | 1.8525 | |
|
| 1.7949 | 1.1 | 220 | 1.8343 | |
|
| 1.703 | 1.2 | 240 | 1.8443 | |
|
| 1.6269 | 1.3 | 260 | 1.8453 | |
|
| 1.6731 | 1.4 | 280 | 1.8330 | |
|
| 1.6004 | 1.5 | 300 | 1.8331 | |
|
| 1.7031 | 1.6 | 320 | 1.8328 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.10.0 |
|
- Transformers 4.40.0 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.19.0 |
|
- Tokenizers 0.19.1 |
