metadata

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

run1

This model is a fine-tuned version of 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	Rougel	Rougelsum	Gen Len
No log	1.0	212	0.3327	58.0	58.0	58.0	2.0
0.3828	2.0	425	0.3269	59.0	59.0	59.0	2.0
0.3828	3.0	637	0.3392	59.0	59.0	59.0	2.0
0.3608	4.0	850	0.3264	60.5	60.5	60.5	2.0
0.3608	5.0	1062	0.3293	59.0	59.0	59.0	2.0
0.3494	6.0	1275	0.3324	60.5	60.5	60.5	2.0
0.3494	7.0	1487	0.3448	61.0	61.0	61.0	2.0
0.3328	8.0	1700	0.3462	59.5	59.5	59.5	2.0
0.3328	9.0	1912	0.3491	59.5	59.5	59.5	2.0
0.3328	9.98	2120	0.3506	59.0	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