metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- resumes_t2json_large
metrics:
- rouge
model-index:
- name: t5-base-finetuned-resumes_t2json_large
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: resumes_t2json_large
type: resumes_t2json_large
args: default
metrics:
- name: Rouge1
type: rouge
value: 4.3177
t5-base-finetuned-resumes_t2json_large
This model is a fine-tuned version of t5-base on the resumes_t2json_large dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 4.3177
- Rouge2: 1.1704
- Rougel: 3.5786
- Rougelsum: 3.7496
- Gen Len: 18.4438
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0 | 1.0 | 10280 | nan | 4.3177 | 1.1704 | 3.5786 | 3.7496 | 18.4438 |
| 0.0 | 2.0 | 20560 | nan | 4.3177 | 1.1704 | 3.5786 | 3.7496 | 18.4438 |
| 0.0 | 3.0 | 30840 | nan | 4.3177 | 1.1704 | 3.5786 | 3.7496 | 18.4438 |
| 0.0 | 4.0 | 41120 | nan | 4.3177 | 1.1704 | 3.5786 | 3.7496 | 18.4438 |
| 0.0 | 5.0 | 51400 | nan | 4.3177 | 1.1704 | 3.5786 | 3.7496 | 18.4438 |
| 0.0 | 6.0 | 61680 | nan | 4.3177 | 1.1704 | 3.5786 | 3.7496 | 18.4438 |
| 0.0 | 7.0 | 71960 | nan | 4.3177 | 1.1704 | 3.5786 | 3.7496 | 18.4438 |
| 0.0 | 8.0 | 82240 | nan | 4.3177 | 1.1704 | 3.5786 | 3.7496 | 18.4438 |
| 0.0 | 9.0 | 92520 | nan | 4.3177 | 1.1704 | 3.5786 | 3.7496 | 18.4438 |
| 0.0 | 10.0 | 102800 | nan | 4.3177 | 1.1704 | 3.5786 | 3.7496 | 18.4438 |
Framework versions
- Transformers 4.20.1
- Pytorch 2.0.0+cu117
- Datasets 2.9.0
- Tokenizers 0.12.1