metadata

base_model: luqh/ClinicalT5-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: 50

run1

This model is a fine-tuned version of luqh/ClinicalT5-base on the sem_eval_2024_task_2 dataset. It achieves the following results on the evaluation set:

Loss: 0.2336
Rouge1: 50.0
Rouge2: 0.0
Rougel: 50.0
Rougelsum: 50.0
Gen Len: 2.22

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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rougel	Rougelsum	Gen Len
No log	1.0	212	0.2358	50.5	50.5	50.5	3.93
1.8021	2.0	425	0.2346	50.5	50.5	50.5	3.73
1.8021	3.0	637	0.2347	50.0	50.0	50.0	2.04
0.2555	4.0	850	0.2342	51.0	51.0	51.0	3.46
0.2555	5.0	1062	0.2333	50.5	50.5	50.5	2.33
0.2518	6.0	1275	0.2327	51.0	51.0	50.5	2.52
0.2518	7.0	1487	0.2351	50.0	50.0	50.0	2.0
0.2516	8.0	1700	0.2354	50.0	50.0	50.0	2.0
0.2516	9.0	1912	0.2329	52.0	52.0	51.5	2.42
0.2516	9.98	2120	0.2336	50.0	50.0	50.0	2.22

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0