File size: 2,333 Bytes
cf314a9 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 |
---
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: []
---
<!-- 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. -->
# mt0-base_fine_lr5e-05_bs4_epoch20_wd0.01
This model is a fine-tuned version of [bigscience/mt0-base](https://huggingface.co/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
|