File size: 3,797 Bytes
4fb71b3 |
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 98 99 100 101 102 103 104 105 106 |
---
library_name: peft
license: mit
base_model: gpt2-medium
tags:
- generated_from_trainer
model-index:
- name: Se124M100KInfPrompt_WT_EOS_medium
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. -->
# Se124M100KInfPrompt_WT_EOS_medium
This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7127
## 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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.8652 | 0.0655 | 20 | 2.6742 |
| 2.6735 | 0.1309 | 40 | 2.4205 |
| 2.3498 | 0.1964 | 60 | 2.0554 |
| 1.9542 | 0.2619 | 80 | 1.6239 |
| 1.5661 | 0.3273 | 100 | 1.2791 |
| 1.3052 | 0.3928 | 120 | 1.0776 |
| 1.1291 | 0.4583 | 140 | 0.9537 |
| 1.0151 | 0.5237 | 160 | 0.8837 |
| 0.9431 | 0.5892 | 180 | 0.8324 |
| 0.8821 | 0.6547 | 200 | 0.8044 |
| 0.8536 | 0.7201 | 220 | 0.7846 |
| 0.8371 | 0.7856 | 240 | 0.7712 |
| 0.8281 | 0.8511 | 260 | 0.7628 |
| 0.8077 | 0.9165 | 280 | 0.7553 |
| 0.8013 | 0.9820 | 300 | 0.7501 |
| 0.7948 | 1.0458 | 320 | 0.7447 |
| 0.783 | 1.1113 | 340 | 0.7394 |
| 0.7727 | 1.1768 | 360 | 0.7372 |
| 0.777 | 1.2422 | 380 | 0.7331 |
| 0.7711 | 1.3077 | 400 | 0.7309 |
| 0.7642 | 1.3732 | 420 | 0.7289 |
| 0.7631 | 1.4386 | 440 | 0.7267 |
| 0.7581 | 1.5041 | 460 | 0.7250 |
| 0.7606 | 1.5696 | 480 | 0.7233 |
| 0.7578 | 1.6350 | 500 | 0.7223 |
| 0.7562 | 1.7005 | 520 | 0.7208 |
| 0.7497 | 1.7660 | 540 | 0.7195 |
| 0.7508 | 1.8314 | 560 | 0.7179 |
| 0.7476 | 1.8969 | 580 | 0.7168 |
| 0.7503 | 1.9624 | 600 | 0.7165 |
| 0.7414 | 2.0262 | 620 | 0.7164 |
| 0.7425 | 2.0917 | 640 | 0.7159 |
| 0.7451 | 2.1571 | 660 | 0.7146 |
| 0.7452 | 2.2226 | 680 | 0.7147 |
| 0.7446 | 2.2881 | 700 | 0.7138 |
| 0.7437 | 2.3535 | 720 | 0.7140 |
| 0.7397 | 2.4190 | 740 | 0.7131 |
| 0.7426 | 2.4845 | 760 | 0.7130 |
| 0.7421 | 2.5499 | 780 | 0.7127 |
| 0.7408 | 2.6154 | 800 | 0.7135 |
| 0.7413 | 2.6809 | 820 | 0.7135 |
| 0.7404 | 2.7463 | 840 | 0.7131 |
| 0.7373 | 2.8118 | 860 | 0.7128 |
| 0.7451 | 2.8773 | 880 | 0.7134 |
| 0.7407 | 2.9427 | 900 | 0.7127 |
### Framework versions
- PEFT 0.15.1
- Transformers 4.51.3
- Pytorch 2.6.0+cu118
- Datasets 3.5.0
- Tokenizers 0.21.1 |