| ---
|
| base_model: bigscience/bloomz-560m
|
| library_name: peft
|
| license: bigscience-bloom-rail-1.0
|
| tags:
|
| - trl
|
| - sft
|
| - generated_from_trainer
|
| model-index:
|
| - name: bloom_ts2
|
| 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. --> |
|
|
| # bloom_ts2 |
| |
| 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: 2.2988 |
| |
| ## 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: 1 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 4 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:-----:|:---------------:| |
| | 3.1299 | 0.9999 | 2219 | 2.625 | |
| | 2.6199 | 1.9998 | 4438 | 2.4199 | |
| | 3.3262 | 2.9997 | 6657 | 2.3418 | |
| | 2.4294 | 4.0 | 8877 | 2.3066 | |
| | 2.2871 | 4.9994 | 11095 | 2.2988 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.12.0 |
| - Transformers 4.44.2 |
| - Pytorch 2.2.1 |
| - Datasets 3.0.0 |
| - Tokenizers 0.19.1 |
