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# t5-base-finetuned-en-to-fr

This model is a fine-tuned version of [Demosthene-OR/t5-base-finetuned-en-to-fr](https://huggingface.co/Demosthene-OR/t5-base-finetuned-en-to-fr) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0189
- Bleu: 99.5662
- Gen Len: 5.9091

## 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: 2e-05
- 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: 150

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 2    | 0.9476          | 91.8099 | 6.2727  |
| No log        | 2.0   | 4    | 0.8626          | 91.2967 | 6.3636  |
| No log        | 3.0   | 6    | 0.7928          | 91.2967 | 6.3636  |
| No log        | 4.0   | 8    | 0.7310          | 91.2967 | 6.3636  |
| No log        | 5.0   | 10   | 0.6734          | 91.2967 | 6.3636  |
| No log        | 6.0   | 12   | 0.6195          | 91.7685 | 6.4545  |
| No log        | 7.0   | 14   | 0.5711          | 92.7714 | 6.3636  |
| No log        | 8.0   | 16   | 0.5311          | 92.7714 | 6.3636  |
| No log        | 9.0   | 18   | 0.4952          | 93.8091 | 6.2727  |
| No log        | 10.0  | 20   | 0.4598          | 93.8091 | 6.2727  |
| No log        | 11.0  | 22   | 0.4246          | 93.8091 | 6.2727  |
| No log        | 12.0  | 24   | 0.3919          | 93.8091 | 6.2727  |
| No log        | 13.0  | 26   | 0.3602          | 93.8091 | 6.2727  |
| No log        | 14.0  | 28   | 0.3308          | 93.8091 | 6.2727  |
| No log        | 15.0  | 30   | 0.3050          | 93.8091 | 6.2727  |
| No log        | 16.0  | 32   | 0.2828          | 94.9904 | 6.2273  |
| No log        | 17.0  | 34   | 0.2633          | 95.4618 | 5.8636  |
| No log        | 18.0  | 36   | 0.2452          | 95.4618 | 5.8636  |
| No log        | 19.0  | 38   | 0.2278          | 96.624  | 5.8182  |
| No log        | 20.0  | 40   | 0.2143          | 96.0313 | 5.9545  |
| No log        | 21.0  | 42   | 0.2027          | 96.0313 | 5.9545  |
| No log        | 22.0  | 44   | 0.1921          | 96.4897 | 5.9091  |
| No log        | 23.0  | 46   | 0.1831          | 96.4897 | 5.9091  |
| No log        | 24.0  | 48   | 0.1739          | 96.4897 | 5.9091  |
| No log        | 25.0  | 50   | 0.1648          | 96.4897 | 5.9091  |
| No log        | 26.0  | 52   | 0.1570          | 96.4897 | 5.9091  |
| No log        | 27.0  | 54   | 0.1511          | 96.9417 | 5.8182  |
| No log        | 28.0  | 56   | 0.1458          | 96.9417 | 5.8182  |
| No log        | 29.0  | 58   | 0.1409          | 96.9417 | 5.8182  |
| No log        | 30.0  | 60   | 0.1377          | 96.9417 | 5.8182  |
| No log        | 31.0  | 62   | 0.1342          | 96.9417 | 5.8182  |
| No log        | 32.0  | 64   | 0.1313          | 96.9417 | 5.8182  |
| No log        | 33.0  | 66   | 0.1282          | 96.9417 | 5.8182  |
| No log        | 34.0  | 68   | 0.1252          | 96.9417 | 5.8182  |
| No log        | 35.0  | 70   | 0.1216          | 96.9417 | 5.8182  |
| No log        | 36.0  | 72   | 0.1172          | 96.9417 | 5.8182  |
| No log        | 37.0  | 74   | 0.1128          | 96.9417 | 5.8182  |
| No log        | 38.0  | 76   | 0.1094          | 96.9417 | 5.8182  |
| No log        | 39.0  | 78   | 0.1060          | 96.9417 | 5.8182  |
| No log        | 40.0  | 80   | 0.1033          | 97.3874 | 5.8636  |
| No log        | 41.0  | 82   | 0.1007          | 97.3874 | 5.8636  |
| No log        | 42.0  | 84   | 0.0978          | 97.3874 | 5.8636  |
| No log        | 43.0  | 86   | 0.0945          | 97.3874 | 5.8636  |
| No log        | 44.0  | 88   | 0.0912          | 97.3874 | 5.8636  |
| No log        | 45.0  | 90   | 0.0882          | 97.3874 | 5.8636  |
| No log        | 46.0  | 92   | 0.0855          | 97.3874 | 5.8636  |
| No log        | 47.0  | 94   | 0.0835          | 97.3874 | 5.8636  |
| No log        | 48.0  | 96   | 0.0818          | 97.3874 | 6.1364  |
| No log        | 49.0  | 98   | 0.0800          | 97.3874 | 6.1364  |
| No log        | 50.0  | 100  | 0.0781          | 97.3874 | 6.1364  |
| No log        | 51.0  | 102  | 0.0764          | 97.3874 | 6.1364  |
| No log        | 52.0  | 104  | 0.0748          | 97.3874 | 5.8636  |
| No log        | 53.0  | 106  | 0.0735          | 97.3874 | 5.8636  |
| No log        | 54.0  | 108  | 0.0726          | 97.3874 | 5.8636  |
| No log        | 55.0  | 110  | 0.0716          | 97.3874 | 5.8636  |
| No log        | 56.0  | 112  | 0.0707          | 97.3874 | 5.8636  |
| No log        | 57.0  | 114  | 0.0702          | 97.3874 | 5.8636  |
| No log        | 58.0  | 116  | 0.0705          | 97.3874 | 5.8636  |
| No log        | 59.0  | 118  | 0.0705          | 97.3874 | 5.8636  |
| No log        | 60.0  | 120  | 0.0703          | 97.3874 | 5.8636  |
| No log        | 61.0  | 122  | 0.0708          | 97.3874 | 5.8636  |
| No log        | 62.0  | 124  | 0.0707          | 97.3874 | 5.8636  |
| No log        | 63.0  | 126  | 0.0714          | 97.3874 | 5.8636  |
| No log        | 64.0  | 128  | 0.0717          | 97.3874 | 5.8636  |
| No log        | 65.0  | 130  | 0.0717          | 97.3874 | 5.8636  |
| No log        | 66.0  | 132  | 0.0707          | 97.3874 | 5.8636  |
| No log        | 67.0  | 134  | 0.0700          | 97.3874 | 5.8636  |
| No log        | 68.0  | 136  | 0.0682          | 97.3874 | 5.8636  |
| No log        | 69.0  | 138  | 0.0669          | 97.3874 | 5.8636  |
| No log        | 70.0  | 140  | 0.0652          | 97.3874 | 5.8636  |
| No log        | 71.0  | 142  | 0.0630          | 97.3874 | 5.8636  |
| No log        | 72.0  | 144  | 0.0615          | 97.3874 | 5.8636  |
| No log        | 73.0  | 146  | 0.0595          | 97.3874 | 5.8636  |
| No log        | 74.0  | 148  | 0.0580          | 97.3874 | 5.8636  |
| No log        | 75.0  | 150  | 0.0566          | 97.3874 | 5.8636  |
| No log        | 76.0  | 152  | 0.0557          | 97.3874 | 5.8636  |
| No log        | 77.0  | 154  | 0.0545          | 97.3874 | 5.8636  |
| No log        | 78.0  | 156  | 0.0535          | 97.3874 | 5.8636  |
| No log        | 79.0  | 158  | 0.0523          | 97.3874 | 5.8636  |
| No log        | 80.0  | 160  | 0.0511          | 97.3874 | 5.8636  |
| No log        | 81.0  | 162  | 0.0499          | 97.3874 | 5.8636  |
| No log        | 82.0  | 164  | 0.0490          | 97.3874 | 5.8636  |
| No log        | 83.0  | 166  | 0.0482          | 97.3874 | 5.8636  |
| No log        | 84.0  | 168  | 0.0474          | 97.3874 | 5.8636  |
| No log        | 85.0  | 170  | 0.0466          | 97.3874 | 5.8636  |
| No log        | 86.0  | 172  | 0.0458          | 97.3874 | 5.8636  |
| No log        | 87.0  | 174  | 0.0449          | 97.3874 | 5.8636  |
| No log        | 88.0  | 176  | 0.0439          | 97.3874 | 5.8636  |
| No log        | 89.0  | 178  | 0.0428          | 97.3874 | 5.8636  |
| No log        | 90.0  | 180  | 0.0423          | 97.3874 | 5.8636  |
| No log        | 91.0  | 182  | 0.0419          | 97.3874 | 5.8636  |
| No log        | 92.0  | 184  | 0.0415          | 97.3874 | 5.8636  |
| No log        | 93.0  | 186  | 0.0411          | 97.3874 | 5.8636  |
| No log        | 94.0  | 188  | 0.0409          | 97.3874 | 5.8636  |
| No log        | 95.0  | 190  | 0.0404          | 97.3874 | 5.8636  |
| No log        | 96.0  | 192  | 0.0398          | 98.4309 | 5.9091  |
| No log        | 97.0  | 194  | 0.0394          | 98.4309 | 5.9091  |
| No log        | 98.0  | 196  | 0.0391          | 98.4309 | 5.9091  |
| No log        | 99.0  | 198  | 0.0388          | 97.3874 | 5.8636  |
| No log        | 100.0 | 200  | 0.0385          | 97.3874 | 5.8636  |
| No log        | 101.0 | 202  | 0.0381          | 99.5662 | 5.9091  |
| No log        | 102.0 | 204  | 0.0373          | 99.5662 | 5.9091  |
| No log        | 103.0 | 206  | 0.0365          | 99.5662 | 5.9091  |
| No log        | 104.0 | 208  | 0.0356          | 99.5662 | 5.9091  |
| No log        | 105.0 | 210  | 0.0345          | 99.5662 | 5.9091  |
| No log        | 106.0 | 212  | 0.0334          | 99.5662 | 5.9091  |
| No log        | 107.0 | 214  | 0.0324          | 99.5662 | 5.9091  |
| No log        | 108.0 | 216  | 0.0315          | 99.5662 | 5.9091  |
| No log        | 109.0 | 218  | 0.0305          | 99.5662 | 5.9091  |
| No log        | 110.0 | 220  | 0.0294          | 99.5662 | 5.9091  |
| No log        | 111.0 | 222  | 0.0283          | 99.5662 | 5.9091  |
| No log        | 112.0 | 224  | 0.0273          | 99.5662 | 5.9091  |
| No log        | 113.0 | 226  | 0.0264          | 99.5662 | 5.9091  |
| No log        | 114.0 | 228  | 0.0257          | 99.5662 | 5.9091  |
| No log        | 115.0 | 230  | 0.0251          | 99.5662 | 5.9091  |
| No log        | 116.0 | 232  | 0.0246          | 99.5662 | 5.9091  |
| No log        | 117.0 | 234  | 0.0241          | 99.5662 | 5.9091  |
| No log        | 118.0 | 236  | 0.0237          | 99.5662 | 5.9091  |
| No log        | 119.0 | 238  | 0.0233          | 99.5662 | 5.9091  |
| No log        | 120.0 | 240  | 0.0228          | 99.5662 | 5.9091  |
| No log        | 121.0 | 242  | 0.0224          | 99.5662 | 5.9091  |
| No log        | 122.0 | 244  | 0.0221          | 99.5662 | 5.9091  |
| No log        | 123.0 | 246  | 0.0217          | 99.5662 | 5.9091  |
| No log        | 124.0 | 248  | 0.0212          | 99.5662 | 5.9091  |
| No log        | 125.0 | 250  | 0.0208          | 99.5662 | 5.9091  |
| No log        | 126.0 | 252  | 0.0204          | 99.5662 | 5.9091  |
| No log        | 127.0 | 254  | 0.0201          | 99.5662 | 5.9091  |
| No log        | 128.0 | 256  | 0.0199          | 99.5662 | 5.9091  |
| No log        | 129.0 | 258  | 0.0197          | 99.5662 | 5.9091  |
| No log        | 130.0 | 260  | 0.0197          | 99.5662 | 5.9091  |
| No log        | 131.0 | 262  | 0.0196          | 99.5662 | 5.9091  |
| No log        | 132.0 | 264  | 0.0197          | 99.5662 | 5.9091  |
| No log        | 133.0 | 266  | 0.0197          | 99.5662 | 5.9091  |
| No log        | 134.0 | 268  | 0.0196          | 99.5662 | 5.9091  |
| No log        | 135.0 | 270  | 0.0195          | 99.5662 | 5.9091  |
| No log        | 136.0 | 272  | 0.0193          | 99.5662 | 5.9091  |
| No log        | 137.0 | 274  | 0.0191          | 99.5662 | 5.9091  |
| No log        | 138.0 | 276  | 0.0190          | 99.5662 | 5.9091  |
| No log        | 139.0 | 278  | 0.0190          | 99.5662 | 5.9091  |
| No log        | 140.0 | 280  | 0.0189          | 99.5662 | 5.9091  |
| No log        | 141.0 | 282  | 0.0189          | 99.5662 | 5.9091  |
| No log        | 142.0 | 284  | 0.0189          | 99.5662 | 5.9091  |
| No log        | 143.0 | 286  | 0.0189          | 99.5662 | 5.9091  |
| No log        | 144.0 | 288  | 0.0189          | 99.5662 | 5.9091  |
| No log        | 145.0 | 290  | 0.0189          | 99.5662 | 5.9091  |
| No log        | 146.0 | 292  | 0.0189          | 99.5662 | 5.9091  |
| No log        | 147.0 | 294  | 0.0189          | 99.5662 | 5.9091  |
| No log        | 148.0 | 296  | 0.0189          | 99.5662 | 5.9091  |
| No log        | 149.0 | 298  | 0.0189          | 99.5662 | 5.9091  |
| No log        | 150.0 | 300  | 0.0189          | 99.5662 | 5.9091  |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1
- Datasets 2.13.0
- Tokenizers 0.13.2
{"language": ["en", "fr"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "Demosthene-OR/t5-base-finetuned-en-to-fr", "pipeline_tag": "translation", "model-index": [{"name": "t5-base-finetuned-en-to-fr", "results": []}]}
transformers pytorch t5 text2text-generation generated_from_trainer translation en fr base_model:Demosthene-OR/t5-base-finetuned-en-to-fr license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us