File size: 2,461 Bytes
5e3c8b7 |
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 |
---
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: S1_InstructionGeneratorDelta
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. -->
# S1_InstructionGeneratorDelta
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0789
## 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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 24
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 173 | 0.1487 |
| No log | 2.0 | 346 | 0.1222 |
| 0.3431 | 3.0 | 519 | 0.1085 |
| 0.3431 | 4.0 | 692 | 0.0998 |
| 0.3431 | 5.0 | 865 | 0.0949 |
| 0.1133 | 6.0 | 1038 | 0.0911 |
| 0.1133 | 7.0 | 1211 | 0.0889 |
| 0.1133 | 8.0 | 1384 | 0.0873 |
| 0.1007 | 9.0 | 1557 | 0.0855 |
| 0.1007 | 10.0 | 1730 | 0.0842 |
| 0.1007 | 11.0 | 1903 | 0.0831 |
| 0.095 | 12.0 | 2076 | 0.0823 |
| 0.095 | 13.0 | 2249 | 0.0817 |
| 0.095 | 14.0 | 2422 | 0.0810 |
| 0.0913 | 15.0 | 2595 | 0.0807 |
| 0.0913 | 16.0 | 2768 | 0.0803 |
| 0.0913 | 17.0 | 2941 | 0.0800 |
| 0.0892 | 18.0 | 3114 | 0.0797 |
| 0.0892 | 19.0 | 3287 | 0.0794 |
| 0.0892 | 20.0 | 3460 | 0.0793 |
| 0.0879 | 21.0 | 3633 | 0.0791 |
| 0.0879 | 22.0 | 3806 | 0.0790 |
| 0.0879 | 23.0 | 3979 | 0.0790 |
| 0.0868 | 24.0 | 4152 | 0.0789 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|