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---
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license: apache-2.0
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base_model: mozilla/distilvit
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tags:
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: checkpoints
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# checkpoints
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This model is a fine-tuned version of [mozilla/distilvit](https://huggingface.co/mozilla/distilvit) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Gen Len: 10.6487
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- Loss: 0.1739
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- Meteor: 0.4120
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- Rouge1: 50.0916
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- Rouge2: 24.7223
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- Rougel: 46.9416
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- Rougelsum: 46.9372
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 100
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- eval_batch_size: 100
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Gen Len | Validation Loss | Meteor | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:------:|:----:|:-------:|:---------------:|:------:|:-------:|:-------:|:-------:|:---------:|
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| No log | 0.3891 | 100 | 10.4163 | 0.1764 | 0.4117 | 50.0198 | 24.6331 | 46.9071 | 46.8907 |
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| No log | 0.7782 | 200 | 10.6487 | 0.1739 | 0.4120 | 50.0916 | 24.7223 | 46.9416 | 46.9372 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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