metadata
license: bigscience-bloom-rail-1.0
base_model: bigscience/bloom-3b
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: Bloom_3b_squad
results: []
Bloom_3b_squad
This model is a fine-tuned version of bigscience/bloom-3b on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 2.7859
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: 2e-05
- train_batch_size: 48
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.0058 | 1.0 | 1643 | 2.7510 |
| 2.7801 | 2.0 | 3286 | 2.7497 |
| 2.7284 | 3.0 | 4929 | 2.7536 |
| 2.7001 | 4.0 | 6572 | 2.7601 |
| 2.6811 | 5.0 | 8215 | 2.7669 |
| 2.6811 | 6.0 | 9858 | 2.7722 |
| 2.6639 | 7.0 | 11501 | 2.7780 |
| 2.6492 | 8.0 | 13144 | 2.7817 |
| 2.6414 | 9.0 | 14787 | 2.7841 |
| 2.6354 | 10.0 | 16430 | 2.7859 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0