File size: 2,631 Bytes
5e8dafa e4e22d2 8ade081 5e8dafa e4e22d2 8ade081 5e8dafa |
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 |
---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-shakespeare
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-shakespeare
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: 2.0269
## 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: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 280
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 0.11 | 100 | 2.7142 |
| No log | 0.21 | 200 | 2.4752 |
| No log | 0.32 | 300 | 2.3674 |
| No log | 0.42 | 400 | 2.3177 |
| 2.9171 | 0.53 | 500 | 2.2626 |
| 2.9171 | 0.63 | 600 | 2.2268 |
| 2.9171 | 0.74 | 700 | 2.2035 |
| 2.9171 | 0.84 | 800 | 2.1836 |
| 2.9171 | 0.95 | 900 | 2.1626 |
| 2.5537 | 1.05 | 1000 | 2.1444 |
| 2.5537 | 1.16 | 1100 | 2.1314 |
| 2.5537 | 1.26 | 1200 | 2.1192 |
| 2.5537 | 1.37 | 1300 | 2.1096 |
| 2.5537 | 1.47 | 1400 | 2.0968 |
| 2.4399 | 1.58 | 1500 | 2.0868 |
| 2.4399 | 1.68 | 1600 | 2.0765 |
| 2.4399 | 1.79 | 1700 | 2.0675 |
| 2.4399 | 1.89 | 1800 | 2.0606 |
| 2.4399 | 2.0 | 1900 | 2.0556 |
| 2.4006 | 2.1 | 2000 | 2.0491 |
| 2.4006 | 2.21 | 2100 | 2.0454 |
| 2.4006 | 2.31 | 2200 | 2.0389 |
| 2.4006 | 2.42 | 2300 | 2.0372 |
| 2.4006 | 2.52 | 2400 | 2.0326 |
| 2.3532 | 2.63 | 2500 | 2.0316 |
| 2.3532 | 2.73 | 2600 | 2.0286 |
| 2.3532 | 2.84 | 2700 | 2.0276 |
| 2.3532 | 2.94 | 2800 | 2.0269 |
### Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
|