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: [] | |
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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 | |