metadata
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: T5_Ru_VKR
results: []
T5_Ru_VKR
This model is a fine-tuned version of google-t5/t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8474
- Rouge1: 0.0229
- Rouge2: 0.0135
- Rougel: 0.0228
- Rougelsum: 0.0227
- Gen Len: 18.845
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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 100 | 1.9287 | 0.0246 | 0.0135 | 0.0245 | 0.0242 | 18.865 |
| No log | 2.0 | 200 | 1.8761 | 0.0213 | 0.0135 | 0.0212 | 0.021 | 18.845 |
| No log | 3.0 | 300 | 1.8454 | 0.0213 | 0.0135 | 0.0212 | 0.021 | 18.845 |
| No log | 4.0 | 400 | 1.8474 | 0.0229 | 0.0135 | 0.0228 | 0.0227 | 18.845 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1