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TheBug95
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my_awesome_sumarize_model

Text2Text Generation
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t5
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text-generation-inference
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End of training

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  1. README.md +25 -25
  2. model.safetensors +1 -1
  3. runs/Mar14_16-51-58_a8dd56571954/events.out.tfevents.1710435118.a8dd56571954.1769.2 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.2874
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- - Rouge1: 0.3656
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- - Rouge2: 0.2555
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- - Rougel: 0.3544
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- - Rougelsum: 0.3512
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  - Gen Len: 19.0
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  ## Model description
@@ -54,26 +54,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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- | No log | 1.0 | 4 | 1.4360 | 0.3727 | 0.2518 | 0.3419 | 0.3401 | 19.0 |
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- | No log | 2.0 | 8 | 1.4087 | 0.3389 | 0.2309 | 0.3249 | 0.3216 | 18.65 |
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- | No log | 3.0 | 12 | 1.3843 | 0.3389 | 0.2309 | 0.3249 | 0.3216 | 18.65 |
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- | No log | 4.0 | 16 | 1.3659 | 0.355 | 0.2429 | 0.3394 | 0.3373 | 19.0 |
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- | No log | 5.0 | 20 | 1.3533 | 0.3656 | 0.251 | 0.3489 | 0.3474 | 19.0 |
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- | No log | 6.0 | 24 | 1.3431 | 0.3761 | 0.2618 | 0.3599 | 0.3569 | 19.0 |
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- | No log | 7.0 | 28 | 1.3323 | 0.3761 | 0.2618 | 0.3599 | 0.3569 | 19.0 |
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- | No log | 8.0 | 32 | 1.3239 | 0.3764 | 0.2667 | 0.3651 | 0.362 | 19.0 |
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- | No log | 9.0 | 36 | 1.3174 | 0.3656 | 0.2555 | 0.3544 | 0.3512 | 19.0 |
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- | No log | 10.0 | 40 | 1.3113 | 0.3656 | 0.2555 | 0.3544 | 0.3512 | 19.0 |
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- | No log | 11.0 | 44 | 1.3061 | 0.3656 | 0.2555 | 0.3544 | 0.3512 | 19.0 |
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- | No log | 12.0 | 48 | 1.3024 | 0.3656 | 0.2555 | 0.3544 | 0.3512 | 19.0 |
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- | No log | 13.0 | 52 | 1.2983 | 0.3656 | 0.2555 | 0.3544 | 0.3512 | 19.0 |
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- | No log | 14.0 | 56 | 1.2949 | 0.3656 | 0.2555 | 0.3544 | 0.3512 | 19.0 |
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- | No log | 15.0 | 60 | 1.2921 | 0.3656 | 0.2555 | 0.3544 | 0.3512 | 19.0 |
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- | No log | 16.0 | 64 | 1.2904 | 0.3656 | 0.2555 | 0.3544 | 0.3512 | 19.0 |
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- | No log | 17.0 | 68 | 1.2890 | 0.3656 | 0.2555 | 0.3544 | 0.3512 | 19.0 |
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- | No log | 18.0 | 72 | 1.2881 | 0.3656 | 0.2555 | 0.3544 | 0.3512 | 19.0 |
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- | No log | 19.0 | 76 | 1.2876 | 0.3656 | 0.2555 | 0.3544 | 0.3512 | 19.0 |
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- | No log | 20.0 | 80 | 1.2874 | 0.3656 | 0.2555 | 0.3544 | 0.3512 | 19.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.2464
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+ - Rouge1: 0.3573
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+ - Rouge2: 0.2493
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+ - Rougel: 0.3411
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+ - Rougelsum: 0.3387
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  - Gen Len: 19.0
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | No log | 1.0 | 4 | 1.2873 | 0.3626 | 0.2514 | 0.3512 | 0.3486 | 19.0 |
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+ | No log | 2.0 | 8 | 1.2838 | 0.3542 | 0.2441 | 0.3452 | 0.3428 | 19.0 |
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+ | No log | 3.0 | 12 | 1.2756 | 0.3542 | 0.2441 | 0.3452 | 0.3428 | 19.0 |
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+ | No log | 4.0 | 16 | 1.2679 | 0.3542 | 0.2441 | 0.3452 | 0.3428 | 19.0 |
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+ | No log | 5.0 | 20 | 1.2627 | 0.3542 | 0.2441 | 0.3452 | 0.3428 | 19.0 |
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+ | No log | 6.0 | 24 | 1.2608 | 0.3542 | 0.2441 | 0.3452 | 0.3428 | 19.0 |
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+ | No log | 7.0 | 28 | 1.2587 | 0.3542 | 0.2441 | 0.3452 | 0.3428 | 19.0 |
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+ | No log | 8.0 | 32 | 1.2576 | 0.359 | 0.2495 | 0.346 | 0.3428 | 19.0 |
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+ | No log | 9.0 | 36 | 1.2569 | 0.359 | 0.2495 | 0.346 | 0.3428 | 19.0 |
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+ | No log | 10.0 | 40 | 1.2558 | 0.359 | 0.2495 | 0.346 | 0.3428 | 19.0 |
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+ | No log | 11.0 | 44 | 1.2537 | 0.359 | 0.2495 | 0.346 | 0.3428 | 19.0 |
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+ | No log | 12.0 | 48 | 1.2521 | 0.3573 | 0.2493 | 0.3411 | 0.3387 | 19.0 |
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+ | No log | 13.0 | 52 | 1.2500 | 0.3573 | 0.2493 | 0.3411 | 0.3387 | 19.0 |
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+ | No log | 14.0 | 56 | 1.2486 | 0.3573 | 0.2493 | 0.3411 | 0.3387 | 19.0 |
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+ | No log | 15.0 | 60 | 1.2476 | 0.3573 | 0.2493 | 0.3411 | 0.3387 | 19.0 |
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+ | No log | 16.0 | 64 | 1.2474 | 0.3573 | 0.2493 | 0.3411 | 0.3387 | 19.0 |
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+ | No log | 17.0 | 68 | 1.2468 | 0.3573 | 0.2493 | 0.3411 | 0.3387 | 19.0 |
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+ | No log | 18.0 | 72 | 1.2465 | 0.3573 | 0.2493 | 0.3411 | 0.3387 | 19.0 |
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+ | No log | 19.0 | 76 | 1.2463 | 0.3573 | 0.2493 | 0.3411 | 0.3387 | 19.0 |
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+ | No log | 20.0 | 80 | 1.2464 | 0.3573 | 0.2493 | 0.3411 | 0.3387 | 19.0 |
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  ### Framework versions
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