---
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: cs_mT5_0.01_50_v0.2
  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. -->

# cs_mT5_0.01_50_v0.2

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: 6.5103
- Bleu: 0.6102
- Gen Len: 19.0

## 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: 0.01
- 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: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 7.711         | 1.0   | 6    | 12.1049         | 0.1934 | 17.0952 |
| 9.9285        | 2.0   | 12   | 7.2425          | 0.1897 | 19.0    |
| 6.1686        | 3.0   | 18   | 6.5311          | 0.3794 | 19.0    |
| 6.0527        | 4.0   | 24   | 6.4394          | 0.6102 | 19.0    |
| 6.0341        | 5.0   | 30   | 6.3821          | 0.6102 | 19.0    |
| 4.9353        | 6.0   | 36   | 6.2037          | 0.704  | 19.0    |
| 5.3025        | 7.0   | 42   | 6.2245          | 0.2318 | 19.0    |
| 5.4882        | 8.0   | 48   | 6.4244          | 0.0    | 19.0    |
| 4.3601        | 9.0   | 54   | 6.4695          | 0.0    | 19.0    |
| 4.8256        | 10.0  | 60   | 6.1939          | 0.6102 | 19.0    |
| 6.2603        | 11.0  | 66   | 7.2294          | 0.6102 | 19.0    |
| 5.5046        | 12.0  | 72   | 7.1054          | 0.704  | 19.0    |
| 5.6536        | 13.0  | 78   | 6.2424          | 0.6102 | 19.0    |
| 5.2092        | 14.0  | 84   | 6.2343          | 0.2016 | 19.0    |
| 4.5288        | 15.0  | 90   | 6.1996          | 0.6102 | 19.0    |
| 5.3447        | 16.0  | 96   | 6.4456          | 0.0    | 3.0     |
| 4.7282        | 17.0  | 102  | 6.0271          | 0.2172 | 19.0    |
| 5.3814        | 18.0  | 108  | 6.2591          | 0.6102 | 19.0    |
| 3.8156        | 19.0  | 114  | 6.2314          | 0.6102 | 19.0    |
| 4.9031        | 20.0  | 120  | 6.3173          | 0.1986 | 19.0    |
| 4.4266        | 21.0  | 126  | 6.5376          | 0.6102 | 19.0    |
| 4.1837        | 22.0  | 132  | 6.1329          | 0.6405 | 19.0    |
| 4.2994        | 23.0  | 138  | 6.1589          | 0.6102 | 19.0    |
| 4.3625        | 24.0  | 144  | 6.0873          | 0.6218 | 19.0    |
| 4.8956        | 25.0  | 150  | 6.2374          | 0.2318 | 19.0    |
| 4.3551        | 26.0  | 156  | 6.2230          | 0.6102 | 19.0    |
| 4.025         | 27.0  | 162  | 6.2925          | 0.6929 | 19.0    |
| 3.9071        | 28.0  | 168  | 6.2040          | 0.6102 | 19.0    |
| 4.1388        | 29.0  | 174  | 6.3024          | 0.6218 | 19.0    |
| 3.942         | 30.0  | 180  | 6.4055          | 0.2176 | 19.0    |
| 4.0977        | 31.0  | 186  | 6.3005          | 0.2874 | 19.0    |
| 4.6125        | 32.0  | 192  | 6.2886          | 0.6102 | 19.0    |
| 4.4031        | 33.0  | 198  | 6.2948          | 0.704  | 19.0    |
| 3.8115        | 34.0  | 204  | 6.2838          | 0.6102 | 19.0    |
| 4.8767        | 35.0  | 210  | 6.2233          | 0.6102 | 19.0    |
| 3.6557        | 36.0  | 216  | 6.2860          | 0.6102 | 19.0    |
| 3.9009        | 37.0  | 222  | 6.3841          | 0.6102 | 19.0    |
| 4.4334        | 38.0  | 228  | 6.3916          | 0.6102 | 19.0    |
| 3.3359        | 39.0  | 234  | 6.3696          | 0.6102 | 19.0    |
| 4.2239        | 40.0  | 240  | 6.4627          | 0.6102 | 19.0    |
| 3.7335        | 41.0  | 246  | 6.5189          | 0.6102 | 19.0    |
| 3.544         | 42.0  | 252  | 6.4958          | 0.6102 | 19.0    |
| 3.77          | 43.0  | 258  | 6.5922          | 0.6102 | 19.0    |
| 3.4661        | 44.0  | 264  | 6.6700          | 0.6218 | 19.0    |
| 4.0715        | 45.0  | 270  | 6.6247          | 0.6102 | 19.0    |
| 3.8948        | 46.0  | 276  | 6.5279          | 0.6102 | 19.0    |
| 3.8278        | 47.0  | 282  | 6.4594          | 0.6102 | 19.0    |
| 4.1446        | 48.0  | 288  | 6.4570          | 0.6102 | 19.0    |
| 3.7627        | 49.0  | 294  | 6.4923          | 0.6102 | 19.0    |
| 3.5996        | 50.0  | 300  | 6.5103          | 0.6102 | 19.0    |


### Framework versions

- Transformers 4.35.2
- Pytorch 1.13.1+cu117
- Datasets 2.17.0
- Tokenizers 0.15.1