---
license: apache-2.0
base_model: bigscience/mt0-base
tags:
- generated_from_trainer
datasets:
- wikipedia
metrics:
- accuracy
model-index:
- name: english_adapter_100k
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# english_adapter_100k

This model is a fine-tuned version of [bigscience/mt0-base](https://huggingface.co/bigscience/mt0-base) on the wikipedia 20231101.en dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9931
- Accuracy: 0.6252

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 100000

### Training results



### Framework versions

- Transformers 4.36.2
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2