peft pytorch safetensors roberta generated_from_trainer base_model:xlm-roberta-large license:mit region:us
---
license: mit
library_name: peft
tags:
- generated_from_trainer
metrics:
- f1
base_model: xlm-roberta-large
model-index:
- name: test
  results: []
---

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

This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1338
- Exact Match: 19.4521
- F1: 23.8484

## 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Exact Match | F1      |
|:-------------:|:-----:|:-----:|:---------------:|:-----------:|:-------:|
| 2.2415        | 1.0   | 13084 | 3.1703          | 19.3151     | 23.2740 |
| 1.3811        | 2.0   | 26168 | 3.1338          | 19.4521     | 23.8484 |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0