peft safetensors generated_from_trainer base_model:bigscience/mt0-base license:apache-2.0 region:us
---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: bigscience/mt0-base
model-index:
- name: mt0-base_adalora_lr5e-05_bs4_epoch20_wd0.01
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mt0-base_adalora_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: 0.0093

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6158        | 1.0   | 157  | 1.3090          |
| 1.4517        | 2.0   | 314  | 1.1107          |
| 1.2826        | 3.0   | 471  | 0.6223          |
| 0.4138        | 4.0   | 628  | 0.1360          |
| 0.2104        | 5.0   | 785  | 0.0696          |
| 0.113         | 6.0   | 942  | 0.0494          |
| 0.1002        | 7.0   | 1099 | 0.0399          |
| 0.0839        | 8.0   | 1256 | 0.0330          |
| 0.0671        | 9.0   | 1413 | 0.0278          |
| 0.0676        | 10.0  | 1570 | 0.0237          |
| 0.0552        | 11.0  | 1727 | 0.0201          |
| 0.0518        | 12.0  | 1884 | 0.0172          |
| 0.0427        | 13.0  | 2041 | 0.0148          |
| 0.0422        | 14.0  | 2198 | 0.0130          |
| 0.0418        | 15.0  | 2355 | 0.0116          |
| 0.0398        | 16.0  | 2512 | 0.0106          |
| 0.0359        | 17.0  | 2669 | 0.0099          |
| 0.0394        | 18.0  | 2826 | 0.0096          |
| 0.0382        | 19.0  | 2983 | 0.0093          |
| 0.0354        | 20.0  | 3140 | 0.0093          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0