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--- |
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license: apache-2.0 |
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base_model: google/byt5-small |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: byt5-finetuned-indocollex-informal-to-formal |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# byt5-finetuned-indocollex-informal-to-formal |
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This model is a fine-tuned version of [google/byt5-small](https://huggingface.co/google/byt5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2186 |
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- Cer: 0.2292 |
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- Wer: 0.6667 |
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- Word Acc: 0.3333 |
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- Gen Len: 7.4857 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 100 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Cer | Wer | Word Acc | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:--------:|:-------:| |
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| No log | 1.0 | 47 | 45.4518 | 2.1817 | 2.0286 | -1.0286 | 19.0 | |
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| No log | 2.0 | 94 | 34.7405 | 2.2267 | 2.5619 | -1.5619 | 19.0 | |
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| No log | 3.0 | 141 | 26.0483 | 2.2895 | 4.5857 | -3.5857 | 19.0 | |
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| No log | 4.0 | 188 | 17.2640 | 2.399 | 1.3667 | -0.3667 | 19.0 | |
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| No log | 5.0 | 235 | 7.8648 | 2.4949 | 1.0 | 0.0 | 19.0 | |
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| No log | 6.0 | 282 | 5.4635 | 2.4143 | 1.0 | 0.0 | 19.0 | |
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| No log | 7.0 | 329 | 4.8432 | 1.253 | 1.0 | 0.0 | 8.8743 | |
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| No log | 8.0 | 376 | 4.1049 | 1.0 | 1.0 | 0.0 | 0.0 | |
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| No log | 9.0 | 423 | 3.1453 | 0.848 | 1.0 | 0.0 | 7.3371 | |
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| No log | 10.0 | 470 | 2.6065 | 0.8778 | 0.9905 | 0.0095 | 7.3486 | |
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| 19.2068 | 11.0 | 517 | 1.6326 | 0.9677 | 1.0 | 0.0 | 9.5143 | |
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| 19.2068 | 12.0 | 564 | 0.9833 | 0.7538 | 0.9905 | 0.0095 | 8.4571 | |
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| 19.2068 | 13.0 | 611 | 0.6980 | 0.6562 | 0.981 | 0.019 | 7.5543 | |
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| 19.2068 | 14.0 | 658 | 0.5709 | 0.5679 | 0.9857 | 0.0143 | 6.9714 | |
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| 19.2068 | 15.0 | 705 | 0.4965 | 0.4567 | 0.9571 | 0.0429 | 6.7886 | |
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| 19.2068 | 16.0 | 752 | 0.4470 | 0.3413 | 0.9381 | 0.0619 | 6.84 | |
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| 19.2068 | 17.0 | 799 | 0.4211 | 0.3175 | 0.9238 | 0.0762 | 6.8514 | |
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| 19.2068 | 18.0 | 846 | 0.4036 | 0.3124 | 0.9 | 0.1 | 6.6914 | |
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| 19.2068 | 19.0 | 893 | 0.3738 | 0.3031 | 0.9048 | 0.0952 | 6.9429 | |
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| 19.2068 | 20.0 | 940 | 0.3604 | 0.309 | 0.8857 | 0.1143 | 6.9086 | |
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| 19.2068 | 21.0 | 987 | 0.3489 | 0.3022 | 0.881 | 0.119 | 7.0171 | |
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| 0.8827 | 22.0 | 1034 | 0.3320 | 0.2869 | 0.8333 | 0.1667 | 6.9771 | |
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| 0.8827 | 23.0 | 1081 | 0.3238 | 0.2861 | 0.8238 | 0.1762 | 6.9257 | |
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| 0.8827 | 24.0 | 1128 | 0.3163 | 0.2666 | 0.8143 | 0.1857 | 7.2686 | |
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| 0.8827 | 25.0 | 1175 | 0.3139 | 0.2733 | 0.8095 | 0.1905 | 7.2914 | |
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| 0.8827 | 26.0 | 1222 | 0.3029 | 0.2716 | 0.8 | 0.2 | 7.36 | |
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| 0.8827 | 27.0 | 1269 | 0.2941 | 0.2666 | 0.7905 | 0.2095 | 7.2971 | |
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| 0.8827 | 28.0 | 1316 | 0.2905 | 0.2666 | 0.7857 | 0.2143 | 7.2914 | |
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| 0.8827 | 29.0 | 1363 | 0.2835 | 0.2615 | 0.7857 | 0.2143 | 7.2686 | |
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| 0.8827 | 30.0 | 1410 | 0.2829 | 0.2733 | 0.781 | 0.219 | 7.44 | |
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| 0.8827 | 31.0 | 1457 | 0.2762 | 0.2598 | 0.7714 | 0.2286 | 7.3714 | |
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| 0.3372 | 32.0 | 1504 | 0.2746 | 0.2725 | 0.7857 | 0.2143 | 7.4571 | |
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| 0.3372 | 33.0 | 1551 | 0.2728 | 0.2666 | 0.7714 | 0.2286 | 7.4457 | |
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| 0.3372 | 34.0 | 1598 | 0.2650 | 0.2572 | 0.7619 | 0.2381 | 7.3886 | |
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| 0.3372 | 35.0 | 1645 | 0.2618 | 0.2708 | 0.7762 | 0.2238 | 7.44 | |
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| 0.3372 | 36.0 | 1692 | 0.2579 | 0.2572 | 0.7619 | 0.2381 | 7.3771 | |
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| 0.3372 | 37.0 | 1739 | 0.2563 | 0.2496 | 0.7524 | 0.2476 | 7.3371 | |
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| 0.3372 | 38.0 | 1786 | 0.2530 | 0.247 | 0.7571 | 0.2429 | 7.3543 | |
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| 0.3372 | 39.0 | 1833 | 0.2531 | 0.2504 | 0.7667 | 0.2333 | 7.3657 | |
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| 0.3372 | 40.0 | 1880 | 0.2521 | 0.2453 | 0.7476 | 0.2524 | 7.3143 | |
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| 0.3372 | 41.0 | 1927 | 0.2496 | 0.2419 | 0.7333 | 0.2667 | 7.2914 | |
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| 0.3372 | 42.0 | 1974 | 0.2483 | 0.2411 | 0.7381 | 0.2619 | 7.3143 | |
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| 0.2747 | 43.0 | 2021 | 0.2446 | 0.2402 | 0.7381 | 0.2619 | 7.3429 | |
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| 0.2747 | 44.0 | 2068 | 0.2443 | 0.2402 | 0.7381 | 0.2619 | 7.32 | |
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| 0.2747 | 45.0 | 2115 | 0.2425 | 0.2377 | 0.7381 | 0.2619 | 7.3714 | |
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| 0.2747 | 46.0 | 2162 | 0.2406 | 0.2351 | 0.7429 | 0.2571 | 7.3714 | |
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| 0.2747 | 47.0 | 2209 | 0.2399 | 0.2402 | 0.7429 | 0.2571 | 7.32 | |
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| 0.2747 | 48.0 | 2256 | 0.2383 | 0.2402 | 0.7381 | 0.2619 | 7.3657 | |
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| 0.2747 | 49.0 | 2303 | 0.2363 | 0.2377 | 0.7429 | 0.2571 | 7.3257 | |
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| 0.2747 | 50.0 | 2350 | 0.2340 | 0.2301 | 0.7143 | 0.2857 | 7.3714 | |
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| 0.2747 | 51.0 | 2397 | 0.2347 | 0.2275 | 0.7143 | 0.2857 | 7.3543 | |
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| 0.2747 | 52.0 | 2444 | 0.2332 | 0.2275 | 0.7143 | 0.2857 | 7.3714 | |
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| 0.2747 | 53.0 | 2491 | 0.2309 | 0.2258 | 0.7095 | 0.2905 | 7.3657 | |
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| 0.2411 | 54.0 | 2538 | 0.2309 | 0.225 | 0.7048 | 0.2952 | 7.3714 | |
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| 0.2411 | 55.0 | 2585 | 0.2299 | 0.2267 | 0.7048 | 0.2952 | 7.3829 | |
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| 0.2411 | 56.0 | 2632 | 0.2280 | 0.2258 | 0.7048 | 0.2952 | 7.4171 | |
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| 0.2411 | 57.0 | 2679 | 0.2301 | 0.2233 | 0.6952 | 0.3048 | 7.44 | |
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| 0.2411 | 58.0 | 2726 | 0.2287 | 0.2207 | 0.6905 | 0.3095 | 7.44 | |
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| 0.2411 | 59.0 | 2773 | 0.2295 | 0.2216 | 0.7 | 0.3 | 7.4171 | |
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| 0.2411 | 60.0 | 2820 | 0.2277 | 0.2199 | 0.6952 | 0.3048 | 7.4229 | |
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| 0.2411 | 61.0 | 2867 | 0.2267 | 0.2233 | 0.6952 | 0.3048 | 7.4286 | |
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| 0.2411 | 62.0 | 2914 | 0.2260 | 0.2233 | 0.7048 | 0.2952 | 7.4343 | |
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| 0.2411 | 63.0 | 2961 | 0.2263 | 0.2224 | 0.7048 | 0.2952 | 7.4343 | |
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| 0.2193 | 64.0 | 3008 | 0.2262 | 0.2216 | 0.6952 | 0.3048 | 7.4286 | |
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| 0.2193 | 65.0 | 3055 | 0.2268 | 0.225 | 0.6952 | 0.3048 | 7.4 | |
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| 0.2193 | 66.0 | 3102 | 0.2241 | 0.2207 | 0.6952 | 0.3048 | 7.4114 | |
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| 0.2193 | 67.0 | 3149 | 0.2237 | 0.2233 | 0.7 | 0.3 | 7.4286 | |
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| 0.2193 | 68.0 | 3196 | 0.2230 | 0.2224 | 0.7 | 0.3 | 7.4229 | |
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| 0.2193 | 69.0 | 3243 | 0.2229 | 0.2216 | 0.681 | 0.319 | 7.4286 | |
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| 0.2193 | 70.0 | 3290 | 0.2225 | 0.2241 | 0.7 | 0.3 | 7.4286 | |
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| 0.2193 | 71.0 | 3337 | 0.2220 | 0.2241 | 0.6905 | 0.3095 | 7.44 | |
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| 0.2193 | 72.0 | 3384 | 0.2221 | 0.2241 | 0.6905 | 0.3095 | 7.4286 | |
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| 0.2193 | 73.0 | 3431 | 0.2214 | 0.2241 | 0.6905 | 0.3095 | 7.4171 | |
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| 0.2193 | 74.0 | 3478 | 0.2215 | 0.2233 | 0.6905 | 0.3095 | 7.4229 | |
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| 0.2056 | 75.0 | 3525 | 0.2209 | 0.2267 | 0.6905 | 0.3095 | 7.4457 | |
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| 0.2056 | 76.0 | 3572 | 0.2208 | 0.2258 | 0.6905 | 0.3095 | 7.44 | |
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| 0.2056 | 77.0 | 3619 | 0.2201 | 0.225 | 0.6905 | 0.3095 | 7.4343 | |
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| 0.2056 | 78.0 | 3666 | 0.2205 | 0.2258 | 0.6905 | 0.3095 | 7.4229 | |
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| 0.2056 | 79.0 | 3713 | 0.2209 | 0.225 | 0.6905 | 0.3095 | 7.4171 | |
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| 0.2056 | 80.0 | 3760 | 0.2203 | 0.2275 | 0.6857 | 0.3143 | 7.4571 | |
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| 0.2056 | 81.0 | 3807 | 0.2201 | 0.2275 | 0.6857 | 0.3143 | 7.4571 | |
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| 0.2056 | 82.0 | 3854 | 0.2204 | 0.2275 | 0.6857 | 0.3143 | 7.4571 | |
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| 0.2056 | 83.0 | 3901 | 0.2203 | 0.2267 | 0.6762 | 0.3238 | 7.4629 | |
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| 0.2056 | 84.0 | 3948 | 0.2199 | 0.2267 | 0.6667 | 0.3333 | 7.4743 | |
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| 0.2056 | 85.0 | 3995 | 0.2194 | 0.2267 | 0.6667 | 0.3333 | 7.48 | |
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| 0.196 | 86.0 | 4042 | 0.2193 | 0.2275 | 0.6667 | 0.3333 | 7.4743 | |
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| 0.196 | 87.0 | 4089 | 0.2189 | 0.2284 | 0.6667 | 0.3333 | 7.48 | |
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| 0.196 | 88.0 | 4136 | 0.2185 | 0.2275 | 0.6619 | 0.3381 | 7.4971 | |
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| 0.196 | 89.0 | 4183 | 0.2188 | 0.225 | 0.6619 | 0.3381 | 7.4914 | |
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| 0.196 | 90.0 | 4230 | 0.2185 | 0.2292 | 0.6667 | 0.3333 | 7.4857 | |
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| 0.196 | 91.0 | 4277 | 0.2188 | 0.2292 | 0.6667 | 0.3333 | 7.4857 | |
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| 0.196 | 92.0 | 4324 | 0.2189 | 0.2284 | 0.6667 | 0.3333 | 7.48 | |
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| 0.196 | 93.0 | 4371 | 0.2191 | 0.2258 | 0.6667 | 0.3333 | 7.4743 | |
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| 0.196 | 94.0 | 4418 | 0.2190 | 0.2258 | 0.6667 | 0.3333 | 7.4743 | |
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| 0.196 | 95.0 | 4465 | 0.2187 | 0.2258 | 0.6667 | 0.3333 | 7.4743 | |
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| 0.1901 | 96.0 | 4512 | 0.2186 | 0.2267 | 0.6667 | 0.3333 | 7.48 | |
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| 0.1901 | 97.0 | 4559 | 0.2187 | 0.2267 | 0.6667 | 0.3333 | 7.48 | |
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| 0.1901 | 98.0 | 4606 | 0.2187 | 0.2267 | 0.6667 | 0.3333 | 7.48 | |
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| 0.1901 | 99.0 | 4653 | 0.2186 | 0.2292 | 0.6667 | 0.3333 | 7.4857 | |
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| 0.1901 | 100.0 | 4700 | 0.2186 | 0.2292 | 0.6667 | 0.3333 | 7.4857 | |
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### Framework versions |
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- Transformers 4.33.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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