t5-small_6_3-en-hi_en_bt
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9293
- Bleu: 8.9676
- Gen Len: 33.391
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 3.7929 | 1.0 | 526 | 2.6759 | 1.5672 | 16.749 |
| 3.1151 | 2.0 | 1052 | 2.3843 | 2.2962 | 16.5287 |
| 2.8701 | 3.0 | 1578 | 2.2287 | 2.8811 | 16.4953 |
| 2.7121 | 4.0 | 2104 | 2.1302 | 3.3949 | 16.5247 |
| 2.5844 | 5.0 | 2630 | 2.0593 | 3.8161 | 16.4513 |
| 2.4917 | 6.0 | 3156 | 2.0063 | 3.9831 | 16.4272 |
| 2.4067 | 7.0 | 3682 | 1.9733 | 4.0511 | 16.3378 |
| 2.3395 | 8.0 | 4208 | 1.9399 | 4.3067 | 16.4112 |
| 2.2713 | 9.0 | 4734 | 1.9148 | 4.3195 | 16.3618 |
| 2.2217 | 10.0 | 5260 | 1.8961 | 4.3905 | 16.4112 |
| 2.1659 | 11.0 | 5786 | 1.8787 | 4.4548 | 16.3298 |
| 2.1267 | 12.0 | 6312 | 1.8651 | 4.5779 | 16.3618 |
| 2.0793 | 13.0 | 6838 | 1.8540 | 4.4863 | 16.2603 |
| 2.0473 | 14.0 | 7364 | 1.8444 | 4.556 | 16.3044 |
| 2.0082 | 15.0 | 7890 | 1.8353 | 4.5957 | 16.3124 |
| 1.9748 | 16.0 | 8416 | 1.8313 | 4.5593 | 16.3204 |
| 1.9456 | 17.0 | 8942 | 1.8259 | 4.4522 | 16.2764 |
| 1.9177 | 18.0 | 9468 | 1.8231 | 4.3345 | 16.3084 |
| 1.8871 | 19.0 | 9994 | 1.8177 | 4.48 | 16.3458 |
| 1.8422 | 20.0 | 10520 | 1.8123 | 4.5078 | 16.287 |
| 1.8161 | 21.0 | 11046 | 1.8106 | 4.3289 | 16.3405 |
| 1.7972 | 22.0 | 11572 | 1.8106 | 4.5204 | 16.3244 |
| 1.7785 | 23.0 | 12098 | 1.8117 | 4.4651 | 16.3605 |
| 1.7563 | 24.0 | 12624 | 1.8125 | 4.3938 | 16.3538 |
| 1.7444 | 25.0 | 13150 | 1.8089 | 4.5367 | 16.3792 |
| 1.7256 | 26.0 | 13676 | 1.8075 | 4.4212 | 16.3925 |
| 1.7021 | 27.0 | 14202 | 1.8080 | 4.5491 | 16.3992 |
| 1.6969 | 28.0 | 14728 | 1.8061 | 4.6568 | 16.3645 |
| 1.6766 | 29.0 | 15254 | 1.8063 | 4.6297 | 16.3738 |
| 1.6653 | 30.0 | 15780 | 1.8095 | 4.6167 | 16.2977 |
| 1.6543 | 31.0 | 16306 | 1.8085 | 4.5452 | 16.3538 |
| 1.6413 | 32.0 | 16832 | 1.8112 | 4.6667 | 16.3351 |
| 1.6293 | 33.0 | 17358 | 1.8126 | 4.6127 | 16.3351 |
| 1.6204 | 34.0 | 17884 | 1.8115 | 4.7196 | 16.3111 |
| 1.6082 | 35.0 | 18410 | 1.8134 | 4.7011 | 16.3324 |
| 1.6048 | 36.0 | 18936 | 1.8122 | 4.6429 | 16.2964 |
| 1.5911 | 37.0 | 19462 | 1.8143 | 4.6424 | 16.3124 |
| 1.5834 | 38.0 | 19988 | 1.8131 | 4.6254 | 16.3164 |
| 1.5742 | 39.0 | 20514 | 1.8154 | 4.6998 | 16.287 |
| 1.5623 | 40.0 | 21040 | 1.8147 | 4.6469 | 16.3471 |
| 1.5599 | 41.0 | 21566 | 1.8185 | 4.6654 | 16.3231 |
| 1.5516 | 42.0 | 22092 | 1.8173 | 4.6961 | 16.3471 |
| 1.5441 | 43.0 | 22618 | 1.8180 | 4.7176 | 16.3084 |
| 1.545 | 44.0 | 23144 | 1.8177 | 4.5571 | 16.275 |
| 1.5418 | 45.0 | 23670 | 1.8195 | 4.5927 | 16.3097 |
| 1.5329 | 46.0 | 24196 | 1.8187 | 4.7025 | 16.2724 |
| 1.5348 | 47.0 | 24722 | 1.8198 | 4.6575 | 16.3057 |
| 1.5362 | 48.0 | 25248 | 1.8197 | 4.6912 | 16.2991 |
| 1.5231 | 49.0 | 25774 | 1.8202 | 4.6752 | 16.2951 |
| 1.5314 | 50.0 | 26300 | 1.8208 | 4.6114 | 16.2937 |
Framework versions
- Transformers 4.20.0.dev0
- Pytorch 1.8.0
- Datasets 2.1.0
- Tokenizers 0.12.1
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