transformers safetensors mt5 text2text-generation generated_from_trainer base_model:google/mt5-base license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: cs_mT5_0.01_50_v0.1
  results: []
---

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# cs_mT5_0.01_50_v0.1

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: 7.3188
- Bleu: 1.2029
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 3.6406        | 1.0   | 6    | 6.1758          | 0.1903 | 19.0    |
| 4.2513        | 2.0   | 12   | 6.4360          | 0.4971 | 19.0    |
| 3.1515        | 3.0   | 18   | 6.2761          | 0.1689 | 19.0    |
| 3.4713        | 4.0   | 24   | 6.4576          | 0.4973 | 19.0    |
| 3.2069        | 5.0   | 30   | 6.6858          | 0.176  | 10.0    |
| 3.5913        | 6.0   | 36   | 6.2785          | 0.7212 | 19.0    |
| 3.7814        | 7.0   | 42   | 6.1120          | 0.7212 | 19.0    |
| 3.2429        | 8.0   | 48   | 6.3660          | 0.3725 | 19.0    |
| 3.2716        | 9.0   | 54   | 6.6523          | 0.4214 | 19.0    |
| 3.3443        | 10.0  | 60   | 6.4341          | 0.3793 | 19.0    |
| 2.4705        | 11.0  | 66   | 6.8433          | 0.7412 | 19.0    |
| 3.0869        | 12.0  | 72   | 6.9583          | 0.0    | 19.0    |
| 2.5187        | 13.0  | 78   | 6.3333          | 1.1569 | 19.0    |
| 3.1211        | 14.0  | 84   | 6.4031          | 0.2813 | 19.0    |
| 2.7326        | 15.0  | 90   | 6.4055          | 0.7962 | 19.0    |
| 2.5142        | 16.0  | 96   | 6.5799          | 0.1843 | 19.0    |
| 3.0964        | 17.0  | 102  | 6.8379          | 0.9395 | 19.0    |
| 2.5998        | 18.0  | 108  | 6.4570          | 0.0    | 19.0    |
| 3.2495        | 19.0  | 114  | 6.6350          | 0.2045 | 19.0    |
| 3.2509        | 20.0  | 120  | 6.3533          | 0.7212 | 19.0    |
| 3.2998        | 21.0  | 126  | 6.3142          | 0.6756 | 19.0    |
| 2.7829        | 22.0  | 132  | 6.5953          | 0.6646 | 19.0    |
| 3.0842        | 23.0  | 138  | 6.6276          | 0.7056 | 19.0    |
| 1.8502        | 24.0  | 144  | 6.6472          | 0.2386 | 19.0    |
| 1.945         | 25.0  | 150  | 6.6534          | 0.6966 | 19.0    |
| 2.7704        | 26.0  | 156  | 7.1955          | 0.7611 | 13.0    |
| 3.1289        | 27.0  | 162  | 6.6522          | 0.7286 | 17.0    |
| 3.0663        | 28.0  | 168  | 6.3873          | 0.8029 | 19.0    |
| 3.4269        | 29.0  | 174  | 6.4310          | 0.204  | 19.0    |
| 2.7845        | 30.0  | 180  | 6.7221          | 0.3228 | 19.0    |
| 2.0443        | 31.0  | 186  | 6.8353          | 0.3228 | 19.0    |
| 3.1621        | 32.0  | 192  | 7.1400          | 0.1346 | 19.0    |
| 2.4147        | 33.0  | 198  | 6.8844          | 1.2029 | 19.0    |
| 2.5869        | 34.0  | 204  | 6.7074          | 0.7475 | 19.0    |
| 2.1119        | 35.0  | 210  | 6.5778          | 0.7212 | 19.0    |
| 1.7629        | 36.0  | 216  | 6.5553          | 0.7867 | 19.0    |
| 2.3745        | 37.0  | 222  | 6.7126          | 0.7663 | 19.0    |
| 2.368         | 38.0  | 228  | 6.8008          | 0.4815 | 19.0    |
| 2.17          | 39.0  | 234  | 6.6388          | 0.7892 | 19.0    |
| 2.4311        | 40.0  | 240  | 6.6423          | 0.3228 | 19.0    |
| 2.8392        | 41.0  | 246  | 6.7127          | 0.3226 | 19.0    |
| 2.386         | 42.0  | 252  | 6.8011          | 0.31   | 19.0    |
| 2.7473        | 43.0  | 258  | 6.8704          | 0.31   | 19.0    |
| 1.9796        | 44.0  | 264  | 6.9846          | 1.2029 | 19.0    |
| 1.4857        | 45.0  | 270  | 7.1239          | 1.2029 | 19.0    |
| 1.8413        | 46.0  | 276  | 7.2177          | 1.194  | 19.0    |
| 2.171         | 47.0  | 282  | 7.2605          | 1.2029 | 19.0    |
| 1.9659        | 48.0  | 288  | 7.3048          | 1.2029 | 19.0    |
| 1.3681        | 49.0  | 294  | 7.3093          | 1.2029 | 19.0    |
| 2.086         | 50.0  | 300  | 7.3188          | 1.2029 | 19.0    |


### Framework versions

- Transformers 4.35.2
- Pytorch 1.13.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0
