File size: 2,898 Bytes
56afc7d |
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: dd-gpt2-medium-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. -->
# dd-gpt2-medium-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: 3.3729
- Accuracy: 0.4006
- Perplexity: 29.1627
- Bleu: 0.1356
## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|:----------:|:------:|
| 6.3499 | 0.2806 | 500 | 6.2328 | 0.1688 | 509.1785 | 0.0261 |
| 5.4979 | 0.5612 | 1000 | 5.3734 | 0.2228 | 215.6041 | 0.0506 |
| 4.8996 | 0.8418 | 1500 | 4.7975 | 0.2650 | 121.2067 | 0.0669 |
| 4.5102 | 1.1223 | 2000 | 4.4042 | 0.2992 | 81.7968 | 0.0791 |
| 4.2029 | 1.4029 | 2500 | 4.1110 | 0.3301 | 61.0070 | 0.0887 |
| 4.0332 | 1.6835 | 3000 | 3.9383 | 0.3457 | 51.3319 | 0.0996 |
| 3.8911 | 1.9641 | 3500 | 3.8146 | 0.3575 | 45.3566 | 0.1107 |
| 3.7698 | 2.2447 | 4000 | 3.7189 | 0.3663 | 41.2194 | 0.1154 |
| 3.6812 | 2.5253 | 4500 | 3.6449 | 0.3729 | 38.2808 | 0.1225 |
| 3.63 | 2.8058 | 5000 | 3.5815 | 0.3790 | 35.9274 | 0.1216 |
| 3.5287 | 3.0864 | 5500 | 3.5309 | 0.3840 | 34.1532 | 0.1261 |
| 3.5032 | 3.3670 | 6000 | 3.4913 | 0.3883 | 32.8286 | 0.1302 |
| 3.4684 | 3.6476 | 6500 | 3.4542 | 0.3917 | 31.6327 | 0.1304 |
| 3.4365 | 3.9282 | 7000 | 3.4250 | 0.3949 | 30.7240 | 0.1303 |
| 3.3894 | 4.2088 | 7500 | 3.4020 | 0.3973 | 30.0227 | 0.1327 |
| 3.3446 | 4.4893 | 8000 | 3.3850 | 0.3992 | 29.5189 | 0.1336 |
| 3.3532 | 4.7699 | 8500 | 3.3729 | 0.4006 | 29.1627 | 0.1356 |
### Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
|