metadata
license: apache-2.0
base_model: bigscience/mt0-base
tags:
- generated_from_trainer
model-index:
- name: mt0-base_fine_lr5e-05_bs4_epoch20_wd0.01
results: []
mt0-base_fine_lr5e-05_bs4_epoch20_wd0.01
This model is a fine-tuned version of bigscience/mt0-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3613 | 1.0 | 157 | 0.0044 |
| 0.0162 | 2.0 | 314 | 0.0006 |
| 0.0114 | 3.0 | 471 | 0.0003 |
| 0.0108 | 4.0 | 628 | 0.0001 |
| 0.0092 | 5.0 | 785 | 0.0001 |
| 0.0091 | 6.0 | 942 | 0.0001 |
| 0.0031 | 7.0 | 1099 | 0.0001 |
| 0.001 | 8.0 | 1256 | 0.0000 |
| 0.0112 | 9.0 | 1413 | 0.0007 |
| 0.0049 | 10.0 | 1570 | 0.0000 |
| 0.0008 | 11.0 | 1727 | 0.0000 |
| 0.005 | 12.0 | 1884 | 0.0000 |
| 0.0043 | 13.0 | 2041 | 0.0000 |
| 0.0005 | 14.0 | 2198 | 0.0000 |
| 0.0007 | 15.0 | 2355 | 0.0000 |
| 0.0059 | 16.0 | 2512 | 0.0000 |
| 0.0003 | 17.0 | 2669 | 0.0000 |
| 0.0005 | 18.0 | 2826 | 0.0000 |
| 0.0004 | 19.0 | 2983 | 0.0000 |
| 0.0028 | 20.0 | 3140 | 0.0000 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0