---
license: apache-2.0
base_model: mozilla/distilvit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: distilvit
  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. -->

# distilvit

This model is a fine-tuned version of [mozilla/distilvit](https://huggingface.co/mozilla/distilvit) on an unknown dataset.
It achieves the following results on the evaluation set:
- Gen Len: 10.6487
- Loss: 0.1739
- Meteor: 0.4120
- Rouge1: 50.0916
- Rouge2: 24.7223
- Rougel: 46.9416
- Rougelsum: 46.9372

## 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: 100
- eval_batch_size: 100
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Gen Len | Validation Loss | Meteor | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:------:|:----:|:-------:|:---------------:|:------:|:-------:|:-------:|:-------:|:---------:|
| No log        | 0.3891 | 100  | 10.4163 | 0.1764          | 0.4117 | 50.0198 | 24.6331 | 46.9071 | 46.8907   |
| No log        | 0.7782 | 200  | 10.6487 | 0.1739          | 0.4120 | 50.0916 | 24.7223 | 46.9416 | 46.9372   |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1