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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mT5-tfidf-10pass-all-questions-QA-23-06-2023-summary
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. -->
# mT5-tfidf-10pass-all-questions-QA-23-06-2023-summary
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9854
- Rouge1: 0.1313
- Rouge2: 0.0198
- Rougel: 0.1109
- Rougelsum: 0.1108
- Gen Len: 18.9487
## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.7253 | 1.0 | 5187 | 2.1284 | 0.1278 | 0.0228 | 0.1044 | 0.1044 | 18.4121 |
| 2.5259 | 2.0 | 10374 | 2.0547 | 0.136 | 0.0265 | 0.1126 | 0.1126 | 18.7747 |
| 2.4501 | 3.0 | 15561 | 2.0201 | 0.1298 | 0.0203 | 0.1089 | 0.1086 | 18.8425 |
| 2.4254 | 4.0 | 20748 | 1.9996 | 0.1299 | 0.0198 | 0.1103 | 0.1102 | 18.9249 |
| 2.2699 | 5.0 | 25935 | 1.9892 | 0.132 | 0.0209 | 0.1118 | 0.1118 | 18.8883 |
| 2.3605 | 6.0 | 31122 | 1.9854 | 0.1313 | 0.0198 | 0.1109 | 0.1108 | 18.9487 |
### Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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