File size: 2,524 Bytes
13eec43 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 |
---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5_recommendation_sports_equipment_english
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_english
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: 0.3614
- Rouge1: 63.8331
- Rouge2: 0.0
- Rougel: 63.8135
- Rougelsum: 63.8922
- Gen Len: 3.0177
## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| No log | 0.96 | 6 | 7.0341 | 41.3666 | 0.0 | 41.2761 | 41.3863 | 3.4923 |
| No log | 1.96 | 12 | 2.9883 | 40.7910 | 0.0 | 40.6533 | 40.7615 | 3.0248 |
| No log | 2.96 | 18 | 0.7740 | 40.7320 | 0.0 | 40.6139 | 40.7320 | 3.0094 |
| No log | 3.96 | 24 | 0.6257 | 59.8583 | 0.0 | 59.8583 | 59.8583 | 3.0 |
| No log | 4.96 | 30 | 0.6243 | 59.8583 | 0.0 | 59.8583 | 59.8583 | 3.0 |
| No log | 5.96 | 36 | 0.4635 | 60.0945 | 0.0 | 59.9764 | 60.0945 | 3.0035 |
| No log | 6.96 | 42 | 0.3732 | 58.2841 | 0.0 | 58.1267 | 58.3038 | 3.1606 |
| No log | 7.96 | 48 | 0.3615 | 60.6749 | 0.0 | 60.5667 | 60.6848 | 3.0767 |
| No log | 8.96 | 54 | 0.3673 | 61.3144 | 0.0 | 61.1177 | 61.2948 | 3.0260 |
| No log | 9.96 | 60 | 0.3614 | 63.8331 | 0.0 | 63.8135 | 63.8922 | 3.0177 |
### Framework versions
- Transformers 4.26.0
- Pytorch 2.1.0+cu121
- Datasets 2.8.0
- Tokenizers 0.13.3
|