File size: 3,279 Bytes
727e5f6 c3169d9 727e5f6 c3169d9 727e5f6 1fbd809 727e5f6 87972eb b0b713b 727e5f6 c3169d9 87972eb 727e5f6 |
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 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 |
---
library_name: peft
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: Se124M10KInfSimple
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. -->
# Se124M10KInfSimple
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5204
## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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
- num_epochs: 50
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3959 | 1.0 | 237 | 0.9383 |
| 0.2182 | 2.0 | 474 | 0.6835 |
| 0.1772 | 3.0 | 711 | 0.6222 |
| 0.1676 | 4.0 | 948 | 0.5980 |
| 0.1609 | 5.0 | 1185 | 0.5840 |
| 0.1519 | 6.0 | 1422 | 0.5740 |
| 0.1535 | 7.0 | 1659 | 0.5659 |
| 0.1492 | 8.0 | 1896 | 0.5587 |
| 0.1456 | 9.0 | 2133 | 0.5575 |
| 0.1427 | 10.0 | 2370 | 0.5528 |
| 0.1442 | 11.0 | 2607 | 0.5499 |
| 0.1403 | 12.0 | 2844 | 0.5466 |
| 0.1425 | 13.0 | 3081 | 0.5449 |
| 0.1403 | 14.0 | 3318 | 0.5414 |
| 0.1405 | 15.0 | 3555 | 0.5399 |
| 0.1387 | 16.0 | 3792 | 0.5383 |
| 0.1377 | 17.0 | 4029 | 0.5368 |
| 0.1379 | 18.0 | 4266 | 0.5376 |
| 0.1353 | 19.0 | 4503 | 0.5349 |
| 0.1378 | 20.0 | 4740 | 0.5313 |
| 0.1372 | 21.0 | 4977 | 0.5320 |
| 0.135 | 22.0 | 5214 | 0.5286 |
| 0.1361 | 23.0 | 5451 | 0.5282 |
| 0.1357 | 24.0 | 5688 | 0.5287 |
| 0.1372 | 25.0 | 5925 | 0.5269 |
| 0.1343 | 26.0 | 6162 | 0.5271 |
| 0.1321 | 27.0 | 6399 | 0.5255 |
| 0.1341 | 28.0 | 6636 | 0.5240 |
| 0.1346 | 29.0 | 6873 | 0.5235 |
| 0.1327 | 30.0 | 7110 | 0.5239 |
| 0.1335 | 31.0 | 7347 | 0.5230 |
| 0.1332 | 32.0 | 7584 | 0.5228 |
| 0.1317 | 33.0 | 7821 | 0.5234 |
| 0.1331 | 34.0 | 8058 | 0.5220 |
| 0.1327 | 35.0 | 8295 | 0.5213 |
| 0.1338 | 36.0 | 8532 | 0.5204 |
| 0.1306 | 37.0 | 8769 | 0.5206 |
| 0.1317 | 38.0 | 9006 | 0.5208 |
### Framework versions
- PEFT 0.15.1
- Transformers 4.51.3
- Pytorch 2.6.0+cu118
- Datasets 3.5.0
- Tokenizers 0.21.1 |