metadata
library_name: peft
license: bigscience-bloom-rail-1.0
base_model: bigscience/bloomz-560m
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 59022daa-6e3f-4914-99fd-4384bc34c3ab
results: []
59022daa-6e3f-4914-99fd-4384bc34c3ab
This model is a fine-tuned version of bigscience/bloomz-560m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4821
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: 0.000218
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0004 | 1 | 1.9815 |
| 3.6234 | 0.0213 | 50 | 1.6699 |
| 3.2122 | 0.0425 | 100 | 1.5983 |
| 3.1573 | 0.0638 | 150 | 1.5604 |
| 3.1364 | 0.0851 | 200 | 1.5376 |
| 3.0396 | 0.1063 | 250 | 1.5230 |
| 3.001 | 0.1276 | 300 | 1.5051 |
| 2.9998 | 0.1488 | 350 | 1.4967 |
| 2.9899 | 0.1701 | 400 | 1.4864 |
| 2.965 | 0.1914 | 450 | 1.4859 |
| 2.9982 | 0.2126 | 500 | 1.4821 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1