File size: 2,046 Bytes
cc7e193 |
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 |
---
library_name: transformers
license: apache-2.0
base_model: muchad/idt5-base
tags:
- generated_from_trainer
metrics:
- rouge
- bleu
model-index:
- name: idt5-base-qaqg_v1-0
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. -->
# idt5-base-qaqg_v1-0
This model is a fine-tuned version of [muchad/idt5-base](https://huggingface.co/muchad/idt5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2262
- Rouge1: 0.4340
- Rouge2: 0.2406
- Rougel: 0.4042
- Rougelsum: 0.4051
- Bleu: 0.1913
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
| 1.413 | 1.0 | 4695 | 1.3393 | 0.4004 | 0.2104 | 0.3743 | 0.3749 | 0.1641 |
| 1.2176 | 2.0 | 9390 | 1.2736 | 0.4213 | 0.2290 | 0.3925 | 0.3934 | 0.1809 |
| 1.1113 | 3.0 | 14085 | 1.2329 | 0.4272 | 0.2346 | 0.3981 | 0.3990 | 0.1851 |
| 1.028 | 4.0 | 18780 | 1.2241 | 0.4337 | 0.2384 | 0.4036 | 0.4044 | 0.1901 |
| 0.9813 | 5.0 | 23475 | 1.2262 | 0.4340 | 0.2406 | 0.4042 | 0.4051 | 0.1913 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.4.0a0+f70bd71a48.nv24.06
- Datasets 3.1.0
- Tokenizers 0.20.3
|