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README.md
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---
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license: apache-2.0
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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: random_top100
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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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# random_top100
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.6990
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- Rouge1: 0.1626
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- Rouge2: 0.0339
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- Rougel: 0.1405
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- Rougelsum: 0.1404
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- Gen Len: 19.0
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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: 2e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| No log | 1.0 | 58 | 17.5159 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
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| No log | 2.0 | 116 | 14.6617 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
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| No log | 3.0 | 174 | 9.7296 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
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| No log | 4.0 | 232 | 9.4582 | 0.0605 | 0.0114 | 0.0585 | 0.059 | 9.0 |
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| No log | 5.0 | 290 | 7.3911 | 0.1321 | 0.0136 | 0.1223 | 0.1221 | 19.0 |
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| No log | 6.0 | 348 | 6.0032 | 0.1542 | 0.0349 | 0.1313 | 0.1312 | 19.0 |
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| No log | 7.0 | 406 | 5.0453 | 0.1542 | 0.0349 | 0.1313 | 0.1312 | 19.0 |
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| No log | 8.0 | 464 | 4.8066 | 0.1626 | 0.0339 | 0.1405 | 0.1404 | 19.0 |
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| 11.9321 | 9.0 | 522 | 4.7140 | 0.1626 | 0.0339 | 0.1405 | 0.1404 | 19.0 |
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| 11.9321 | 10.0 | 580 | 4.6990 | 0.1626 | 0.0339 | 0.1405 | 0.1404 | 19.0 |
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### Framework versions
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- Transformers 4.28.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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