metadata
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: []
bloom_ts2
This model is a fine-tuned version of 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