metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: bigscience/mt0-base
model-index:
- name: mt0-base_lora_lr5e-05_bs4_epoch20_wd0.01
results: []
mt0-base_lora_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: 0.0002
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 |
|---|---|---|---|
| 0.5596 | 1.0 | 157 | 0.2422 |
| 0.2051 | 2.0 | 314 | 0.0247 |
| 0.0709 | 3.0 | 471 | 0.0035 |
| 0.0284 | 4.0 | 628 | 0.0020 |
| 0.023 | 5.0 | 785 | 0.0016 |
| 0.0157 | 6.0 | 942 | 0.0013 |
| 0.0187 | 7.0 | 1099 | 0.0008 |
| 0.0147 | 8.0 | 1256 | 0.0006 |
| 0.0138 | 9.0 | 1413 | 0.0005 |
| 0.0161 | 10.0 | 1570 | 0.0004 |
| 0.0074 | 11.0 | 1727 | 0.0004 |
| 0.0121 | 12.0 | 1884 | 0.0002 |
| 0.0063 | 13.0 | 2041 | 0.0002 |
| 0.0072 | 14.0 | 2198 | 0.0002 |
| 0.0069 | 15.0 | 2355 | 0.0002 |
| 0.0056 | 16.0 | 2512 | 0.0002 |
| 0.0112 | 17.0 | 2669 | 0.0002 |
| 0.008 | 18.0 | 2826 | 0.0002 |
| 0.0091 | 19.0 | 2983 | 0.0002 |
| 0.0065 | 20.0 | 3140 | 0.0002 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0