transformers safetensors t5 text2text-generation generated_from_trainer dataset:sem_eval_2024_task_2 base_model:google/flan-t5-base license:apache-2.0 model-index autotrain_compatible endpoints_compatible text-generation-inference region:us
---
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
---

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# 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
