|
--- |
|
license: bigscience-bloom-rail-1.0 |
|
base_model: bigscience/bloom-3b |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- squad |
|
model-index: |
|
- name: Bloom_3b_squad |
|
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_3b_squad |
|
|
|
This model is a fine-tuned version of [bigscience/bloom-3b](https://huggingface.co/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 |
|
|
