File size: 2,194 Bytes
06feab2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 |
---
license: apache-2.0
base_model: google/mt5-base
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-base-finetuned-sumeczech
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mt5-base-finetuned-sumeczech
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9291
- Rouge1: 15.9842
- Rouge2: 5.0275
- Rougel: 12.6308
- Rougelsum: 14.0073
## 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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 2.6446 | 1.0 | 108450 | 2.4043 | 13.4797 | 3.1596 | 10.6012 | 11.798 |
| 2.3864 | 2.0 | 216900 | 2.3327 | 13.955 | 3.387 | 10.9208 | 12.165 |
| 2.3381 | 3.0 | 325350 | 2.2699 | 14.2671 | 3.5872 | 11.1539 | 12.4443 |
| 2.2583 | 4.0 | 433800 | 2.2085 | 14.5162 | 3.9249 | 11.4167 | 12.697 |
| 2.178 | 5.0 | 542250 | 2.1429 | 14.8376 | 4.1524 | 11.6426 | 12.9856 |
| 2.0847 | 6.0 | 650700 | 2.0678 | 15.0717 | 4.3497 | 11.8584 | 13.1779 |
| 1.9676 | 7.0 | 759150 | 1.9866 | 15.7074 | 4.7106 | 12.3935 | 13.7652 |
| 1.8196 | 8.0 | 867600 | 1.9291 | 15.9842 | 5.0275 | 12.6308 | 14.0073 |
### Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
|