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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5_recommendation_sports_equipment_english2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5_recommendation_sports_equipment_english2
This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5359
- Rouge1: 74.1270
- Rouge2: 66.6667
- Rougel: 74.1270
- Rougelsum: 73.8095
- Gen Len: 4.0476
## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 80
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log | 1.0 | 1 | 9.9716 | 12.4868 | 0.0 | 12.5845 | 12.5051 | 19.0 |
| No log | 2.0 | 2 | 10.1466 | 9.9134 | 0.0 | 9.9471 | 9.8413 | 19.0 |
| No log | 3.0 | 3 | 8.3378 | 10.5739 | 0.0 | 10.6349 | 10.5291 | 19.0 |
| No log | 4.0 | 4 | 7.3021 | 10.5739 | 0.0 | 10.6349 | 10.5291 | 19.0 |
| No log | 5.0 | 5 | 6.3242 | 10.4605 | 0.0 | 10.5471 | 10.4567 | 19.0 |
| No log | 6.0 | 6 | 5.4331 | 10.2886 | 0.7937 | 10.2319 | 10.3793 | 19.0 |
| No log | 7.0 | 7 | 4.7152 | 10.8989 | 0.7937 | 10.8388 | 10.9525 | 18.9524 |
| No log | 8.0 | 8 | 3.9937 | 13.9421 | 3.7009 | 14.0590 | 13.9456 | 15.0952 |
| No log | 9.0 | 9 | 3.1163 | 16.0431 | 1.0025 | 15.7736 | 15.9707 | 6.4762 |
| No log | 10.0 | 10 | 2.3306 | 23.1746 | 7.1429 | 22.8571 | 23.6508 | 4.1429 |
| No log | 11.0 | 11 | 1.9695 | 21.2698 | 7.1429 | 20.9524 | 21.4286 | 4.0476 |
| No log | 12.0 | 12 | 1.5552 | 23.8095 | 7.1429 | 23.3333 | 23.8095 | 3.9048 |
| No log | 13.0 | 13 | 0.8986 | 9.0476 | 0.0 | 9.0476 | 9.0476 | 3.7619 |
| No log | 14.0 | 14 | 0.7398 | 17.4603 | 2.3810 | 18.2540 | 17.4603 | 4.1905 |
| No log | 15.0 | 15 | 0.6966 | 12.6984 | 0.0 | 12.6984 | 12.6984 | 3.6667 |
| No log | 16.0 | 16 | 0.6352 | 32.5397 | 14.2857 | 32.5397 | 32.5397 | 3.7619 |
| No log | 17.0 | 17 | 0.5722 | 43.6508 | 23.8095 | 43.6508 | 42.8571 | 4.0952 |
| No log | 18.0 | 18 | 0.5628 | 43.6508 | 23.8095 | 43.6508 | 42.8571 | 3.8571 |
| No log | 19.0 | 19 | 0.5526 | 43.1746 | 23.8095 | 43.1746 | 42.8571 | 3.8571 |
| No log | 20.0 | 20 | 0.5522 | 48.4127 | 38.0952 | 48.4127 | 48.4127 | 3.7619 |
| No log | 21.0 | 21 | 0.5201 | 42.8571 | 28.5714 | 42.8571 | 42.3810 | 4.2381 |
| No log | 22.0 | 22 | 0.5262 | 37.1429 | 19.0476 | 36.9841 | 36.9841 | 4.2857 |
| No log | 23.0 | 23 | 0.5093 | 37.6190 | 23.8095 | 37.6190 | 37.6190 | 4.1429 |
| No log | 24.0 | 24 | 0.4818 | 45.3175 | 33.3333 | 45.2381 | 45.2381 | 4.1429 |
| No log | 25.0 | 25 | 0.4547 | 50.7937 | 38.0952 | 50.7937 | 50.7937 | 4.1429 |
| No log | 26.0 | 26 | 0.4455 | 50.7937 | 38.0952 | 50.7937 | 50.7937 | 4.1429 |
| No log | 27.0 | 27 | 0.4660 | 53.1746 | 42.8571 | 53.1746 | 53.1746 | 4.0476 |
| No log | 28.0 | 28 | 0.4825 | 53.1746 | 42.8571 | 53.1746 | 53.1746 | 4.0 |
| No log | 29.0 | 29 | 0.4928 | 53.1746 | 42.8571 | 53.1746 | 53.1746 | 4.0476 |
| No log | 30.0 | 30 | 0.4838 | 57.7778 | 42.8571 | 57.2222 | 57.5397 | 4.0476 |
| No log | 31.0 | 31 | 0.4955 | 60.3175 | 47.6190 | 60.3175 | 60.3175 | 4.0476 |
| No log | 32.0 | 32 | 0.5066 | 62.6984 | 52.3810 | 62.6984 | 62.6984 | 4.1429 |
| No log | 33.0 | 33 | 0.5189 | 62.6984 | 52.3810 | 62.6984 | 62.6984 | 4.1905 |
| No log | 34.0 | 34 | 0.5234 | 62.6984 | 52.3810 | 62.6984 | 62.6984 | 4.1905 |
| No log | 35.0 | 35 | 0.5225 | 62.6984 | 52.3810 | 62.6984 | 62.6984 | 4.1905 |
| No log | 36.0 | 36 | 0.5225 | 62.6984 | 52.3810 | 62.6984 | 62.6984 | 4.1905 |
| No log | 37.0 | 37 | 0.5058 | 62.8571 | 52.3810 | 62.2222 | 62.6984 | 4.1429 |
| No log | 38.0 | 38 | 0.4861 | 69.8413 | 61.9048 | 69.8413 | 69.8413 | 4.1905 |
| No log | 39.0 | 39 | 0.4625 | 69.8413 | 61.9048 | 69.8413 | 69.8413 | 4.1905 |
| No log | 40.0 | 40 | 0.4438 | 72.2222 | 66.6667 | 72.2222 | 72.2222 | 4.0952 |
| No log | 41.0 | 41 | 0.4231 | 72.2222 | 66.6667 | 72.2222 | 72.2222 | 4.0952 |
| No log | 42.0 | 42 | 0.4073 | 72.2222 | 66.6667 | 72.2222 | 72.2222 | 4.0952 |
| No log | 43.0 | 43 | 0.3938 | 72.2222 | 66.6667 | 72.2222 | 72.2222 | 4.0952 |
| No log | 44.0 | 44 | 0.3912 | 72.2222 | 66.6667 | 72.2222 | 72.2222 | 4.0952 |
| No log | 45.0 | 45 | 0.3980 | 72.2222 | 66.6667 | 72.2222 | 72.2222 | 4.1429 |
| No log | 46.0 | 46 | 0.4062 | 72.2222 | 66.6667 | 72.2222 | 72.2222 | 4.1905 |
| No log | 47.0 | 47 | 0.4121 | 76.9841 | 71.4286 | 76.9841 | 76.9841 | 4.2857 |
| No log | 48.0 | 48 | 0.4150 | 76.9841 | 71.4286 | 76.9841 | 76.9841 | 4.1905 |
| No log | 49.0 | 49 | 0.4183 | 76.9841 | 71.4286 | 76.9841 | 76.9841 | 4.1429 |
| No log | 50.0 | 50 | 0.4205 | 76.9841 | 71.4286 | 76.9841 | 76.9841 | 4.1905 |
| No log | 51.0 | 51 | 0.4306 | 79.3651 | 76.1905 | 79.3651 | 79.3651 | 4.0952 |
| No log | 52.0 | 52 | 0.4411 | 76.5079 | 71.4286 | 76.5079 | 76.1905 | 4.0 |
| No log | 53.0 | 53 | 0.4526 | 76.5079 | 71.4286 | 76.5079 | 76.1905 | 4.0476 |
| No log | 54.0 | 54 | 0.4667 | 76.5079 | 71.4286 | 76.5079 | 76.1905 | 4.0 |
| No log | 55.0 | 55 | 0.4871 | 76.5079 | 71.4286 | 76.5079 | 76.1905 | 4.0 |
| No log | 56.0 | 56 | 0.5063 | 76.5079 | 71.4286 | 76.5079 | 76.1905 | 4.0 |
| No log | 57.0 | 57 | 0.5196 | 76.5079 | 71.4286 | 76.5079 | 76.1905 | 4.0 |
| No log | 58.0 | 58 | 0.5265 | 76.5079 | 71.4286 | 76.5079 | 76.1905 | 3.9524 |
| No log | 59.0 | 59 | 0.5308 | 76.5079 | 71.4286 | 76.5079 | 76.1905 | 3.9524 |
| No log | 60.0 | 60 | 0.5333 | 76.5079 | 71.4286 | 76.5079 | 76.1905 | 3.9524 |
| No log | 61.0 | 61 | 0.5344 | 76.5079 | 71.4286 | 76.5079 | 76.1905 | 3.9524 |
| No log | 62.0 | 62 | 0.5348 | 76.5079 | 71.4286 | 76.5079 | 76.1905 | 3.9524 |
| No log | 63.0 | 63 | 0.5354 | 76.5079 | 71.4286 | 76.5079 | 76.1905 | 3.9524 |
| No log | 64.0 | 64 | 0.5359 | 76.5079 | 71.4286 | 76.5079 | 76.1905 | 3.9524 |
| No log | 65.0 | 65 | 0.5359 | 74.1270 | 66.6667 | 74.1270 | 73.8095 | 4.0476 |
| No log | 66.0 | 66 | 0.5359 | 74.1270 | 66.6667 | 74.1270 | 73.8095 | 4.0476 |
| No log | 67.0 | 67 | 0.5359 | 74.1270 | 66.6667 | 74.1270 | 73.8095 | 4.0476 |
| No log | 68.0 | 68 | 0.5359 | 74.1270 | 66.6667 | 74.1270 | 73.8095 | 4.0476 |
| No log | 69.0 | 69 | 0.5359 | 74.1270 | 66.6667 | 74.1270 | 73.8095 | 4.0476 |
| No log | 70.0 | 70 | 0.5359 | 74.1270 | 66.6667 | 74.1270 | 73.8095 | 4.0476 |
| No log | 71.0 | 71 | 0.5359 | 74.1270 | 66.6667 | 74.1270 | 73.8095 | 4.0476 |
| No log | 72.0 | 72 | 0.5359 | 74.1270 | 66.6667 | 74.1270 | 73.8095 | 4.0476 |
| No log | 73.0 | 73 | 0.5359 | 74.1270 | 66.6667 | 74.1270 | 73.8095 | 4.0476 |
| No log | 74.0 | 74 | 0.5359 | 74.1270 | 66.6667 | 74.1270 | 73.8095 | 4.0476 |
| No log | 75.0 | 75 | 0.5359 | 74.1270 | 66.6667 | 74.1270 | 73.8095 | 4.0476 |
| No log | 76.0 | 76 | 0.5359 | 74.1270 | 66.6667 | 74.1270 | 73.8095 | 4.0476 |
| No log | 77.0 | 77 | 0.5359 | 74.1270 | 66.6667 | 74.1270 | 73.8095 | 4.0476 |
| No log | 78.0 | 78 | 0.5359 | 74.1270 | 66.6667 | 74.1270 | 73.8095 | 4.0476 |
| No log | 79.0 | 79 | 0.5359 | 74.1270 | 66.6667 | 74.1270 | 73.8095 | 4.0476 |
| No log | 80.0 | 80 | 0.5359 | 74.1270 | 66.6667 | 74.1270 | 73.8095 | 4.0476 |
### Framework versions
- Transformers 4.26.0
- Pytorch 2.3.0+cu121
- Datasets 2.8.0
- Tokenizers 0.13.3
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