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_PrefixTuning_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_PrefixTuning_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: 0.2067

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8049        | 1.0   | 157  | 0.4431          |
| 0.7867        | 2.0   | 314  | 0.4271          |
| 0.7594        | 3.0   | 471  | 0.4017          |
| 0.7285        | 4.0   | 628  | 0.3724          |
| 0.6645        | 5.0   | 785  | 0.3470          |
| 0.6434        | 6.0   | 942  | 0.3244          |
| 0.6189        | 7.0   | 1099 | 0.3047          |
| 0.6048        | 8.0   | 1256 | 0.2879          |
| 0.5618        | 9.0   | 1413 | 0.2731          |
| 0.536         | 10.0  | 1570 | 0.2602          |
| 0.5033        | 11.0  | 1727 | 0.2494          |
| 0.5052        | 12.0  | 1884 | 0.2398          |
| 0.4647        | 13.0  | 2041 | 0.2316          |
| 0.479         | 14.0  | 2198 | 0.2248          |
| 0.4629        | 15.0  | 2355 | 0.2191          |
| 0.4541        | 16.0  | 2512 | 0.2146          |
| 0.4484        | 17.0  | 2669 | 0.2111          |
| 0.4415        | 18.0  | 2826 | 0.2087          |
| 0.4447        | 19.0  | 2983 | 0.2072          |
| 0.4343        | 20.0  | 3140 | 0.2067          |


### Framework versions

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