metadata
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: en_bn_summarize_v9
results: []
en_bn_summarize_v9
This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 10.1813
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 19.2112
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: 4
- 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
- lr_scheduler_warmup_steps: 5000
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 154 | 21.8463 | 0.0 | 0.0 | 0.0 | 0.0 | 14.2733 |
| 22.8116 | 2.0 | 308 | 21.0316 | 0.0 | 0.0 | 0.0 | 0.0 | 15.9441 |
| 22.8116 | 3.0 | 462 | 18.9193 | 0.0 | 0.0 | 0.0 | 0.0 | 16.8882 |
| 18.8985 | 4.0 | 616 | 15.2305 | 0.0 | 0.0 | 0.0 | 0.0 | 17.7826 |
| 18.8985 | 5.0 | 770 | 10.1813 | 0.0 | 0.0 | 0.0 | 0.0 | 19.2112 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1