File size: 2,878 Bytes
86a95c4 |
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 76 77 78 79 80 |
---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
- bleu
model-index:
- name: gpt2-wikitext
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. -->
# gpt2-wikitext
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1672
- Accuracy: 0.4214
- Perplexity: 23.7410
- Bleu: 0.1474
## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Perplexity | Bleu |
|:-------------:|:------:|:----:|:---------------:|:--------:|:----------:|:------:|
| 6.0797 | 0.2806 | 500 | 5.9513 | 0.1886 | 384.2374 | 0.0328 |
| 5.0682 | 0.5612 | 1000 | 4.9243 | 0.2616 | 137.5896 | 0.0640 |
| 4.3376 | 0.8418 | 1500 | 4.2176 | 0.3220 | 67.8687 | 0.0837 |
| 3.946 | 1.1223 | 2000 | 3.8835 | 0.3531 | 48.5917 | 0.1062 |
| 3.7578 | 1.4029 | 2500 | 3.7072 | 0.3683 | 40.7404 | 0.1239 |
| 3.6484 | 1.6835 | 3000 | 3.5824 | 0.3790 | 35.9600 | 0.1312 |
| 3.5434 | 1.9641 | 3500 | 3.4942 | 0.3874 | 32.9255 | 0.1354 |
| 3.4228 | 2.2447 | 4000 | 3.4280 | 0.3938 | 30.8151 | 0.1332 |
| 3.3604 | 2.5253 | 4500 | 3.3732 | 0.3989 | 29.1719 | 0.1409 |
| 3.3288 | 2.8058 | 5000 | 3.3268 | 0.4039 | 27.8495 | 0.1396 |
| 3.2073 | 3.0864 | 5500 | 3.2888 | 0.4079 | 26.8096 | 0.1410 |
| 3.2009 | 3.3670 | 6000 | 3.2614 | 0.4109 | 26.0870 | 0.1426 |
| 3.1787 | 3.6476 | 6500 | 3.2330 | 0.4141 | 25.3543 | 0.1394 |
| 3.1528 | 3.9282 | 7000 | 3.2094 | 0.4164 | 24.7635 | 0.1459 |
| 3.0849 | 4.2088 | 7500 | 3.1927 | 0.4182 | 24.3547 | 0.1420 |
| 3.0471 | 4.4893 | 8000 | 3.1799 | 0.4200 | 24.0448 | 0.1476 |
| 3.0571 | 4.7699 | 8500 | 3.1672 | 0.4214 | 23.7410 | 0.1474 |
### Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
|