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---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: ExerciseLog
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. -->
# ExerciseLog
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 8.8515
- Rouge1: 0.2517
- Rouge2: 0.0519
- Rougel: 0.2511
- Rougelsum: 0.2531
- Gen Len: 13.4286
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log | 1.0 | 2 | 12.0165 | 0.1562 | 0.0 | 0.1562 | 0.158 | 12.2857 |
| No log | 2.0 | 4 | 11.5390 | 0.1966 | 0.0 | 0.1962 | 0.195 | 12.8571 |
| No log | 3.0 | 6 | 11.0965 | 0.1966 | 0.0 | 0.1962 | 0.195 | 12.8571 |
| No log | 4.0 | 8 | 10.7200 | 0.1833 | 0.0 | 0.1837 | 0.1833 | 13.7143 |
| No log | 5.0 | 10 | 10.3922 | 0.1833 | 0.0 | 0.1837 | 0.1833 | 13.7143 |
| No log | 6.0 | 12 | 10.0939 | 0.2439 | 0.0519 | 0.2449 | 0.2465 | 14.0 |
| No log | 7.0 | 14 | 9.8265 | 0.2439 | 0.0519 | 0.2449 | 0.2465 | 14.0 |
| No log | 8.0 | 16 | 9.5947 | 0.2439 | 0.0519 | 0.2449 | 0.2465 | 14.0 |
| No log | 9.0 | 18 | 9.4007 | 0.2439 | 0.0519 | 0.2449 | 0.2465 | 14.0 |
| No log | 10.0 | 20 | 9.2348 | 0.2439 | 0.0519 | 0.2449 | 0.2465 | 14.0 |
| No log | 11.0 | 22 | 9.1026 | 0.2517 | 0.0519 | 0.2511 | 0.2531 | 13.4286 |
| No log | 12.0 | 24 | 8.9968 | 0.2517 | 0.0519 | 0.2511 | 0.2531 | 13.4286 |
| No log | 13.0 | 26 | 8.9197 | 0.2517 | 0.0519 | 0.2511 | 0.2531 | 13.4286 |
| No log | 14.0 | 28 | 8.8720 | 0.2517 | 0.0519 | 0.2511 | 0.2531 | 13.4286 |
| No log | 15.0 | 30 | 8.8515 | 0.2517 | 0.0519 | 0.2511 | 0.2531 | 13.4286 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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