| --- |
| license: bigscience-bloom-rail-1.0 |
| library_name: peft |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| base_model: bigscience/bloomz-560m |
| model-index: |
| - name: Model-text-generation |
| 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. --> |
|
|
| # Model-text-generation |
|
|
| This model is a fine-tuned version of [bigscience/bloomz-560m](https://huggingface.co/bigscience/bloomz-560m) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.6440 |
|
|
| ## 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: 1.41e-05 |
| - 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: cosine |
| - num_epochs: 5 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 3.6532 | 1.0 | 984 | 3.6657 | |
| | 3.6527 | 2.0 | 1968 | 3.6518 | |
| | 3.6301 | 3.0 | 2953 | 3.6462 | |
| | 3.6279 | 4.0 | 3937 | 3.6442 | |
| | 3.6385 | 5.0 | 4920 | 3.6440 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.7.1 |
| - Transformers 4.36.2 |
| - Pytorch 2.0.0 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
