metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: en_bn_summarize_v1
results: []
en_bn_summarize_v1
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.9948
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 18.323
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5000
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 27.0008 | 1.0 | 615 | 19.6292 | 0.0 | 0.0 | 0.0 | 0.0 | 5.5342 |
| 22.3588 | 2.0 | 1230 | 12.9038 | 0.0 | 0.0 | 0.0 | 0.0 | 6.6335 |
| 16.0103 | 3.0 | 1845 | 4.3199 | 0.0 | 0.0 | 0.0 | 0.0 | 18.3851 |
| 8.0443 | 4.0 | 2460 | 3.6049 | 0.0 | 0.0 | 0.0 | 0.0 | 12.6025 |
| 4.7815 | 5.0 | 3075 | 3.3718 | 0.0 | 0.0 | 0.0 | 0.0 | 16.5839 |
| 4.5186 | 6.0 | 3690 | 3.2383 | 0.0 | 0.0 | 0.0 | 0.0 | 17.3602 |
| 4.345 | 7.0 | 4305 | 3.1175 | 0.0 | 0.0 | 0.0 | 0.0 | 18.2236 |
| 4.1762 | 8.0 | 4920 | 3.0548 | 0.0 | 0.0 | 0.0 | 0.0 | 18.0373 |
| 3.9419 | 9.0 | 5535 | 3.0028 | 0.0 | 0.0 | 0.0 | 0.0 | 18.354 |
| 3.8654 | 10.0 | 6150 | 2.9948 | 0.0 | 0.0 | 0.0 | 0.0 | 18.323 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3