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---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: seven_epoch
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. -->
# seven_epoch
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: 2.6967
- Rouge1: 0.2471
- Rouge2: 0.1156
- Rougel: 0.221
- Rougelsum: 0.2214
- Gen Len: 17.57
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log | 1.0 | 107 | 3.2445 | 0.1098 | 0.0185 | 0.0968 | 0.0967 | 18.47 |
| No log | 2.0 | 214 | 2.9257 | 0.1353 | 0.0337 | 0.119 | 0.1191 | 17.94 |
| No log | 3.0 | 321 | 2.8182 | 0.2021 | 0.0797 | 0.1801 | 0.1795 | 17.45 |
| No log | 4.0 | 428 | 2.7577 | 0.2358 | 0.1081 | 0.2096 | 0.2089 | 17.53 |
| 3.0898 | 5.0 | 535 | 2.7202 | 0.2347 | 0.1059 | 0.211 | 0.2094 | 17.31 |
| 3.0898 | 6.0 | 642 | 2.7035 | 0.2429 | 0.1124 | 0.2191 | 0.2188 | 17.58 |
| 3.0898 | 7.0 | 749 | 2.6967 | 0.2471 | 0.1156 | 0.221 | 0.2214 | 17.57 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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