transformers safetensors mt5 text2text-generation generated_from_trainer base_model:google/mt5-large license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: google/mt5-large
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: cs_mT5-large_0.01_100_v0.1
  results: []
---

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# cs_mT5-large_0.01_100_v0.1

This model is a fine-tuned version of [google/mt5-large](https://huggingface.co/google/mt5-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 6.2112
- Bleu: 0.8171
- 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: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 9.5426        | 1.0   | 6    | 13.2737         | 0.0    | 19.0    |
| 9.5598        | 2.0   | 12   | 57.9184         | 0.2088 | 19.0    |
| 8.9859        | 3.0   | 18   | 7.1357          | 0.2088 | 19.0    |
| 4.8419        | 4.0   | 24   | 6.5896          | 0.0    | 2.0     |
| 6.0099        | 5.0   | 30   | 5.9797          | 0.0    | 19.0    |
| 5.4071        | 6.0   | 36   | 6.0228          | 0.0    | 19.0    |
| 5.4716        | 7.0   | 42   | 6.0132          | 0.0    | 19.0    |
| 5.6419        | 8.0   | 48   | 5.9242          | 0.0    | 19.0    |
| 5.7044        | 9.0   | 54   | 6.0529          | 0.0    | 19.0    |
| 5.7007        | 10.0  | 60   | 5.8730          | 0.0    | 19.0    |
| 5.0052        | 11.0  | 66   | 6.0392          | 0.0    | 19.0    |
| 6.3889        | 12.0  | 72   | 6.0776          | 0.0    | 19.0    |
| 5.2703        | 13.0  | 78   | 70.6639         | 0.0    | 19.0    |
| 7.1444        | 14.0  | 84   | 7.6067          | 0.0    | 19.0    |
| 4.7785        | 15.0  | 90   | 6.5610          | 0.0    | 19.0    |
| 5.6738        | 16.0  | 96   | 6.0522          | 0.0    | 19.0    |
| 5.5087        | 17.0  | 102  | 6.0558          | 0.0    | 19.0    |
| 5.4367        | 18.0  | 108  | 5.9737          | 0.0    | 19.0    |
| 5.5081        | 19.0  | 114  | 6.0431          | 0.0    | 19.0    |
| 5.2506        | 20.0  | 120  | 5.9623          | 0.0    | 19.0    |
| 5.354         | 21.0  | 126  | 6.0081          | 0.0    | 19.0    |
| 5.5891        | 22.0  | 132  | 5.9859          | 0.0    | 19.0    |
| 5.2457        | 23.0  | 138  | 5.9296          | 0.0    | 19.0    |
| 4.9566        | 24.0  | 144  | 6.0038          | 0.0    | 19.0    |
| 5.3327        | 25.0  | 150  | 6.0421          | 0.0    | 19.0    |
| 4.946         | 26.0  | 156  | 6.0225          | 0.0    | 19.0    |
| 5.1903        | 27.0  | 162  | 5.9587          | 0.0    | 19.0    |
| 5.0797        | 28.0  | 168  | 5.9780          | 0.0    | 19.0    |
| 4.8033        | 29.0  | 174  | 6.0577          | 0.0    | 19.0    |
| 5.559         | 30.0  | 180  | 6.0250          | 0.0    | 19.0    |
| 5.7859        | 31.0  | 186  | 5.9493          | 0.0    | 19.0    |
| 5.4172        | 32.0  | 192  | 6.0647          | 0.0    | 19.0    |
| 4.9906        | 33.0  | 198  | 6.0617          | 0.0    | 19.0    |
| 4.9745        | 34.0  | 204  | 5.9800          | 0.0    | 19.0    |
| 5.2086        | 35.0  | 210  | 5.9942          | 0.0    | 19.0    |
| 5.7047        | 36.0  | 216  | 5.9996          | 0.0    | 19.0    |
| 4.4275        | 37.0  | 222  | 6.0826          | 0.0    | 19.0    |
| 4.9545        | 38.0  | 228  | 6.0865          | 0.0    | 19.0    |
| 5.1466        | 39.0  | 234  | 5.9571          | 0.0    | 19.0    |
| 5.5095        | 40.0  | 240  | 5.9970          | 0.0    | 19.0    |
| 5.1998        | 41.0  | 246  | 5.9978          | 0.0    | 19.0    |
| 4.8406        | 42.0  | 252  | 6.0314          | 0.0    | 19.0    |
| 5.0467        | 43.0  | 258  | 6.0444          | 0.0    | 19.0    |
| 5.2282        | 44.0  | 264  | 6.0295          | 0.0    | 19.0    |
| 4.8847        | 45.0  | 270  | 6.0284          | 0.0    | 19.0    |
| 5.5734        | 46.0  | 276  | 6.0598          | 0.0    | 19.0    |
| 4.743         | 47.0  | 282  | 6.0396          | 0.0    | 19.0    |
| 5.3795        | 48.0  | 288  | 6.0567          | 0.0    | 19.0    |
| 4.9066        | 49.0  | 294  | 6.0615          | 0.0    | 19.0    |
| 4.9682        | 50.0  | 300  | 6.1018          | 0.0    | 19.0    |
| 4.828         | 51.0  | 306  | 6.0605          | 0.0    | 19.0    |
| 4.5153        | 52.0  | 312  | 6.0531          | 0.0    | 19.0    |
| 5.2316        | 53.0  | 318  | 5.9855          | 0.0    | 19.0    |
| 4.8071        | 54.0  | 324  | 6.0292          | 0.0    | 19.0    |
| 5.106         | 55.0  | 330  | 6.0541          | 0.0    | 19.0    |
| 4.9581        | 56.0  | 336  | 5.9499          | 0.0    | 19.0    |
| 4.8037        | 57.0  | 342  | 6.1083          | 0.0    | 19.0    |
| 4.7738        | 58.0  | 348  | 6.0111          | 0.0    | 19.0    |
| 5.3786        | 59.0  | 354  | 6.0164          | 0.0    | 19.0    |
| 4.8782        | 60.0  | 360  | 5.9442          | 0.0    | 19.0    |
| 4.8589        | 61.0  | 366  | 5.9036          | 0.8171 | 19.0    |
| 4.8486        | 62.0  | 372  | 5.7896          | 0.8171 | 19.0    |
| 4.4303        | 63.0  | 378  | 5.8475          | 0.8171 | 19.0    |
| 5.116         | 64.0  | 384  | 5.7361          | 0.8171 | 19.0    |
| 4.9206        | 65.0  | 390  | 5.7211          | 0.8171 | 19.0    |
| 4.5294        | 66.0  | 396  | 5.6845          | 0.8171 | 19.0    |
| 5.0969        | 67.0  | 402  | 5.6964          | 0.8171 | 19.0    |
| 4.4403        | 68.0  | 408  | 5.7035          | 0.8171 | 19.0    |
| 4.3498        | 69.0  | 414  | 5.7088          | 0.8171 | 19.0    |
| 5.0456        | 70.0  | 420  | 5.6742          | 0.8171 | 19.0    |
| 4.9812        | 71.0  | 426  | 5.6820          | 0.8171 | 19.0    |
| 4.4053        | 72.0  | 432  | 5.7010          | 0.8171 | 19.0    |
| 4.8459        | 73.0  | 438  | 5.8511          | 0.8171 | 19.0    |
| 4.3272        | 74.0  | 444  | 5.7204          | 0.8171 | 19.0    |
| 4.4791        | 75.0  | 450  | 5.7542          | 0.8171 | 19.0    |
| 4.5272        | 76.0  | 456  | 5.7444          | 0.8171 | 19.0    |
| 4.2581        | 77.0  | 462  | 5.7456          | 0.879  | 19.0    |
| 4.718         | 78.0  | 468  | 5.7187          | 0.8171 | 19.0    |
| 4.3661        | 79.0  | 474  | 5.8472          | 0.8291 | 19.0    |
| 4.8016        | 80.0  | 480  | 5.7478          | 0.8171 | 19.0    |
| 4.1973        | 81.0  | 486  | 5.8850          | 0.8171 | 19.0    |
| 4.0916        | 82.0  | 492  | 5.7678          | 0.8171 | 19.0    |
| 4.1624        | 83.0  | 498  | 5.8662          | 0.8171 | 19.0    |
| 4.2458        | 84.0  | 504  | 5.9224          | 0.8171 | 19.0    |
| 3.7141        | 85.0  | 510  | 5.8928          | 0.8171 | 19.0    |
| 3.5796        | 86.0  | 516  | 6.0489          | 0.937  | 19.0    |
| 4.8417        | 87.0  | 522  | 6.1602          | 0.8171 | 19.0    |
| 4.3568        | 88.0  | 528  | 5.9343          | 0.8171 | 19.0    |
| 4.6028        | 89.0  | 534  | 5.9039          | 0.8171 | 19.0    |
| 3.6638        | 90.0  | 540  | 6.1188          | 0.879  | 19.0    |
| 4.1465        | 91.0  | 546  | 6.0166          | 0.8171 | 19.0    |
| 4.32          | 92.0  | 552  | 6.0690          | 0.8171 | 19.0    |
| 4.0945        | 93.0  | 558  | 6.0812          | 0.8171 | 19.0    |
| 3.9572        | 94.0  | 564  | 5.9877          | 0.8171 | 19.0    |
| 3.9032        | 95.0  | 570  | 6.0960          | 0.2223 | 19.0    |
| 4.3571        | 96.0  | 576  | 6.1585          | 0.8171 | 19.0    |
| 3.768         | 97.0  | 582  | 6.1953          | 0.8171 | 19.0    |
| 3.94          | 98.0  | 588  | 6.2025          | 0.8171 | 19.0    |
| 3.8452        | 99.0  | 594  | 6.2129          | 0.8171 | 19.0    |
| 4.4174        | 100.0 | 600  | 6.2112          | 0.8171 | 19.0    |


### Framework versions

- Transformers 4.35.2
- Pytorch 1.13.1+cu117
- Datasets 2.17.0
- Tokenizers 0.15.2
