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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mT5-tfidf-10pass-all-questions-QA-22-06-2023-without-ams-questionsonly
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-22-06-2023-without-ams-questionsonly
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: 2.0969
- Rouge1: 0.1351
- Rouge2: 0.0301
- Rougel: 0.1095
- Rougelsum: 0.1095
- Gen Len: 18.4617
## 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: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 3.1465 | 1.0 | 5206 | 2.3173 | 0.0028 | 0.0002 | 0.0026 | 0.0025 | 0.5748 |
| 2.6187 | 2.0 | 10412 | 2.1202 | 0.1347 | 0.0291 | 0.1085 | 0.1084 | 18.3066 |
| 2.5918 | 3.0 | 15618 | 2.0969 | 0.1351 | 0.0301 | 0.1095 | 0.1095 | 18.4617 |
### Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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