README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - resumes_t2json
metrics:
  - rouge
model-index:
  - name: t5-base-finetuned-xsum
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: resumes_t2json
          type: resumes_t2json
          config: default
          split: validation
          args: default
        metrics:
          - name: Rouge1
            type: rouge
            value: 5.7966

t5-base-finetuned-xsum

This model is a fine-tuned version of t5-base on the resumes_t2json dataset. It achieves the following results on the evaluation set:

• Loss: 0.5861
• Rouge1: 5.7966
• Rouge2: 3.5884
• Rougel: 5.7799
• Rougelsum: 5.7839
• Gen Len: 19.0

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.2507	1.0	877	0.5862	5.7975	3.5884	5.7804	5.7847	19.0
0.7138	2.0	1754	0.5861	5.7966	3.5884	5.7799	5.7839	19.0
0.7176	3.0	2631	0.5861	5.7966	3.5884	5.7799	5.7839	19.0

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu117
• Datasets 2.9.0
• Tokenizers 0.13.2