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---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
datasets:
- sem_eval_2024_task_2
metrics:
- rouge
model-index:
- name: run1
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: sem_eval_2024_task_2
type: sem_eval_2024_task_2
config: sem_eval_2024_task_2_source
split: validation
args: sem_eval_2024_task_2_source
metrics:
- name: Rouge1
type: rouge
value: 59.0
---
<!-- 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. -->
# run1
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the sem_eval_2024_task_2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3506
- Rouge1: 59.0
- Rouge2: 0.0
- Rougel: 59.0
- Rougelsum: 58.75
- Gen Len: 2.0
## 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: 4
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log | 1.0 | 212 | 0.3327 | 58.0 | 0.0 | 58.0 | 58.0 | 2.0 |
| 0.3828 | 2.0 | 425 | 0.3269 | 59.0 | 0.0 | 59.0 | 59.0 | 2.0 |
| 0.3828 | 3.0 | 637 | 0.3392 | 59.0 | 0.0 | 59.0 | 59.0 | 2.0 |
| 0.3608 | 4.0 | 850 | 0.3264 | 60.5 | 0.0 | 60.5 | 60.5 | 2.0 |
| 0.3608 | 5.0 | 1062 | 0.3293 | 59.0 | 0.0 | 59.0 | 59.0 | 2.0 |
| 0.3494 | 6.0 | 1275 | 0.3324 | 60.5 | 0.0 | 60.5 | 60.5 | 2.0 |
| 0.3494 | 7.0 | 1487 | 0.3448 | 61.0 | 0.0 | 61.0 | 61.0 | 2.0 |
| 0.3328 | 8.0 | 1700 | 0.3462 | 59.5 | 0.0 | 59.5 | 59.5 | 2.0 |
| 0.3328 | 9.0 | 1912 | 0.3491 | 59.5 | 0.0 | 59.5 | 59.5 | 2.0 |
| 0.3328 | 9.98 | 2120 | 0.3506 | 59.0 | 0.0 | 59.0 | 58.75 | 2.0 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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