File size: 3,855 Bytes
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license: mit
tags:
- generated_from_trainer
model-index:
- name: Romance-baseline
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. -->
# Romance-baseline
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 6.5909
## 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
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 50
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 0.94 | 15 | 10.7009 |
| No log | 1.94 | 30 | 10.0799 |
| No log | 2.94 | 45 | 9.6627 |
| No log | 3.94 | 60 | 9.4619 |
| No log | 4.94 | 75 | 9.2970 |
| No log | 5.94 | 90 | 9.0919 |
| No log | 6.94 | 105 | 8.9071 |
| No log | 7.94 | 120 | 8.7240 |
| No log | 8.94 | 135 | 8.5485 |
| No log | 9.94 | 150 | 8.3952 |
| No log | 10.94 | 165 | 8.2469 |
| No log | 11.94 | 180 | 8.1193 |
| No log | 12.94 | 195 | 7.9918 |
| No log | 13.94 | 210 | 7.8662 |
| No log | 14.94 | 225 | 7.7394 |
| No log | 15.94 | 240 | 7.6219 |
| No log | 16.94 | 255 | 7.5135 |
| No log | 17.94 | 270 | 7.4110 |
| No log | 18.94 | 285 | 7.3021 |
| No log | 19.94 | 300 | 7.2021 |
| No log | 20.94 | 315 | 7.1276 |
| No log | 21.94 | 330 | 7.0278 |
| No log | 22.94 | 345 | 6.9627 |
| No log | 23.94 | 360 | 6.8806 |
| No log | 24.94 | 375 | 6.8214 |
| No log | 25.94 | 390 | 6.7725 |
| No log | 26.94 | 405 | 6.7101 |
| No log | 27.94 | 420 | 6.6792 |
| No log | 28.94 | 435 | 6.6361 |
| No log | 29.94 | 450 | 6.5950 |
| No log | 30.94 | 465 | 6.5745 |
| No log | 31.94 | 480 | 6.5469 |
| No log | 32.94 | 495 | 6.5520 |
| No log | 33.94 | 510 | 6.5121 |
| No log | 34.94 | 525 | 6.5255 |
| No log | 35.94 | 540 | 6.5179 |
| No log | 36.94 | 555 | 6.5079 |
| No log | 37.94 | 570 | 6.5138 |
| No log | 38.94 | 585 | 6.5170 |
| No log | 39.94 | 600 | 6.4807 |
| No log | 40.94 | 615 | 6.5338 |
| No log | 41.94 | 630 | 6.4960 |
| No log | 42.94 | 645 | 6.5342 |
| No log | 43.94 | 660 | 6.5119 |
| No log | 44.94 | 675 | 6.5614 |
| No log | 45.94 | 690 | 6.5235 |
| No log | 46.94 | 705 | 6.5388 |
| No log | 47.94 | 720 | 6.5574 |
| No log | 48.94 | 735 | 6.5581 |
| No log | 49.94 | 750 | 6.5909 |
### Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
|