t5-small-finetuned-xsum
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.3510
- Rouge1: 31.9328
- Rouge2: 30.7692
- Rougel: 31.9328
- Rougelsum: 31.9328
- 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: 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: 100
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
---|---|---|---|---|---|---|---|---|
No log | 1.0 | 1 | 4.6285 | 30.5085 | 27.5862 | 30.5085 | 30.5085 | 19.0 |
No log | 2.0 | 2 | 4.5962 | 30.5085 | 27.5862 | 30.5085 | 30.5085 | 19.0 |
No log | 3.0 | 3 | 4.5647 | 30.5085 | 27.5862 | 30.5085 | 30.5085 | 19.0 |
No log | 4.0 | 4 | 4.5332 | 30.5085 | 27.5862 | 30.5085 | 30.5085 | 19.0 |
No log | 5.0 | 5 | 4.5017 | 30.5085 | 27.5862 | 30.5085 | 30.5085 | 19.0 |
No log | 6.0 | 6 | 4.4700 | 30.5085 | 27.5862 | 30.5085 | 30.5085 | 19.0 |
No log | 7.0 | 7 | 4.4392 | 30.5085 | 27.5862 | 30.5085 | 30.5085 | 19.0 |
No log | 8.0 | 8 | 4.4086 | 30.5085 | 27.5862 | 30.5085 | 30.5085 | 19.0 |
No log | 9.0 | 9 | 4.3787 | 30.5085 | 27.5862 | 30.5085 | 30.5085 | 19.0 |
No log | 10.0 | 10 | 4.3466 | 30.5085 | 27.5862 | 30.5085 | 30.5085 | 19.0 |
No log | 11.0 | 11 | 4.3033 | 30.5085 | 27.5862 | 30.5085 | 30.5085 | 19.0 |
No log | 12.0 | 12 | 4.2622 | 30.5085 | 27.5862 | 30.5085 | 30.5085 | 19.0 |
No log | 13.0 | 13 | 4.2329 | 30.5085 | 27.5862 | 30.5085 | 30.5085 | 19.0 |
No log | 14.0 | 14 | 4.2033 | 30.5085 | 27.5862 | 30.5085 | 30.5085 | 19.0 |
No log | 15.0 | 15 | 4.1732 | 30.5085 | 27.5862 | 30.5085 | 30.5085 | 19.0 |
No log | 16.0 | 16 | 4.1432 | 30.5085 | 27.5862 | 30.5085 | 30.5085 | 19.0 |
No log | 17.0 | 17 | 4.1130 | 30.5085 | 27.5862 | 30.5085 | 30.5085 | 19.0 |
No log | 18.0 | 18 | 4.0838 | 30.5085 | 27.5862 | 30.5085 | 30.5085 | 19.0 |
No log | 19.0 | 19 | 4.0550 | 30.5085 | 27.5862 | 30.5085 | 30.5085 | 19.0 |
No log | 20.0 | 20 | 4.0268 | 30.5085 | 27.5862 | 30.5085 | 30.5085 | 19.0 |
No log | 21.0 | 21 | 3.9994 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 22.0 | 22 | 3.9723 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 23.0 | 23 | 3.9461 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 24.0 | 24 | 3.9208 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 25.0 | 25 | 3.8969 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 26.0 | 26 | 3.8736 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 27.0 | 27 | 3.8511 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 28.0 | 28 | 3.8275 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 29.0 | 29 | 3.8040 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 30.0 | 30 | 3.7818 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 31.0 | 31 | 3.7597 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 32.0 | 32 | 3.7381 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 33.0 | 33 | 3.7174 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 34.0 | 34 | 3.6983 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 35.0 | 35 | 3.6802 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 36.0 | 36 | 3.6628 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 37.0 | 37 | 3.6461 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 38.0 | 38 | 3.6301 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 39.0 | 39 | 3.6150 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 40.0 | 40 | 3.6005 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 41.0 | 41 | 3.5871 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 42.0 | 42 | 3.5744 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 43.0 | 43 | 3.5628 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 44.0 | 44 | 3.5516 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 45.0 | 45 | 3.5410 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 46.0 | 46 | 3.5308 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 47.0 | 47 | 3.5212 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 48.0 | 48 | 3.5122 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 49.0 | 49 | 3.5039 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 50.0 | 50 | 3.4961 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 51.0 | 51 | 3.4889 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 52.0 | 52 | 3.4818 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 53.0 | 53 | 3.4745 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 54.0 | 54 | 3.4679 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 55.0 | 55 | 3.4618 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 56.0 | 56 | 3.4557 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 57.0 | 57 | 3.4502 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 58.0 | 58 | 3.4447 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 59.0 | 59 | 3.4391 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 60.0 | 60 | 3.4336 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 61.0 | 61 | 3.4285 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 62.0 | 62 | 3.4234 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 63.0 | 63 | 3.4186 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 64.0 | 64 | 3.4140 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 65.0 | 65 | 3.4094 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 66.0 | 66 | 3.4052 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 67.0 | 67 | 3.4014 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 68.0 | 68 | 3.3979 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 69.0 | 69 | 3.3946 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 70.0 | 70 | 3.3914 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 71.0 | 71 | 3.3880 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 72.0 | 72 | 3.3848 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 73.0 | 73 | 3.3818 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 74.0 | 74 | 3.3790 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 75.0 | 75 | 3.3764 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 76.0 | 76 | 3.3742 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 77.0 | 77 | 3.3720 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 78.0 | 78 | 3.3699 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 79.0 | 79 | 3.3680 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 80.0 | 80 | 3.3663 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 81.0 | 81 | 3.3645 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 82.0 | 82 | 3.3629 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 83.0 | 83 | 3.3615 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 84.0 | 84 | 3.3602 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 85.0 | 85 | 3.3591 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 86.0 | 86 | 3.3582 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 87.0 | 87 | 3.3573 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 88.0 | 88 | 3.3565 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 89.0 | 89 | 3.3557 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 90.0 | 90 | 3.3549 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 91.0 | 91 | 3.3543 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 92.0 | 92 | 3.3537 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 93.0 | 93 | 3.3531 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 94.0 | 94 | 3.3525 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 95.0 | 95 | 3.3521 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 96.0 | 96 | 3.3517 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 97.0 | 97 | 3.3515 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 98.0 | 98 | 3.3512 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 99.0 | 99 | 3.3511 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
No log | 100.0 | 100 | 3.3510 | 31.9328 | 30.7692 | 31.9328 | 31.9328 | 19.0 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Downloads last month
- 6
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for vaibhavchavan/t5-small-finetuned-xsum
Base model
google-t5/t5-small
Finetuned
this model