File size: 1,938 Bytes
1a0f74b |
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 |
---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-task2-dataset4
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-small-task2-dataset4
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5672
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
## 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: 5.6e-05
- 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: 6
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 0.438 | 1.0 | 500 | 0.7425 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.6245 | 2.0 | 1000 | 0.6182 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.7026 | 3.0 | 1500 | 0.5939 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.6624 | 4.0 | 2000 | 0.5739 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.6389 | 5.0 | 2500 | 0.5673 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.6249 | 6.0 | 3000 | 0.5672 | 0.0 | 0.0 | 0.0 | 0.0 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
|