File size: 1,739 Bytes
d7872e2 |
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 |
---
tags:
- generated_from_trainer
model-index:
- name: longt5_xl_govreport_4096_memsum_e20
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. -->
# longt5_xl_govreport_4096_memsum_e20
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4413
## 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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 10.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4496 | 1.0 | 68 | 1.8158 |
| 0.3462 | 1.99 | 136 | 1.7510 |
| 0.3171 | 2.99 | 204 | 1.8821 |
| 0.2761 | 3.99 | 272 | 2.0322 |
| 0.2338 | 5.0 | 341 | 2.0432 |
| 0.1998 | 6.0 | 409 | 2.2008 |
| 0.1512 | 6.99 | 477 | 2.3444 |
| 0.1618 | 7.99 | 545 | 2.3309 |
| 0.1392 | 8.99 | 613 | 2.4437 |
| 0.1271 | 9.97 | 680 | 2.4413 |
### Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
|