File size: 2,059 Bytes
708e5bc 482c63b 708e5bc 482c63b 708e5bc |
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: peft
license: apache-2.0
base_model: muchad/idt5-base
tags:
- generated_from_trainer
metrics:
- rouge
- bleu
model-index:
- name: idt5-base-ae_adapter_v2
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-ae_adapter_v2
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: 1.6189
- Rouge1: 0.2865
- Rouge2: 0.1723
- Rougel: 0.2835
- Rougelsum: 0.2833
- Bleu: 0.1327
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
| 2.3292 | 1.0 | 3235 | 1.8863 | 0.2475 | 0.1449 | 0.2451 | 0.2454 | 0.1103 |
| 2.0895 | 2.0 | 6470 | 1.6991 | 0.2761 | 0.1678 | 0.2725 | 0.2727 | 0.1388 |
| 1.9092 | 3.0 | 9705 | 1.6346 | 0.2798 | 0.1671 | 0.2773 | 0.2775 | 0.1278 |
| 1.9178 | 4.0 | 12940 | 1.6246 | 0.2839 | 0.1705 | 0.2813 | 0.2809 | 0.1227 |
| 1.9038 | 5.0 | 16175 | 1.6189 | 0.2865 | 0.1723 | 0.2835 | 0.2833 | 0.1327 |
### Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.4.0a0+f70bd71a48.nv24.06
- Datasets 3.0.2
- Tokenizers 0.20.1 |