| --- |
| license: mit |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: lmd-8bars-2048-epochs10 |
| 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. --> |
|
|
| # lmd-8bars-2048-epochs10 |
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|
| 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: 1.0086 |
|
|
| ## Model description |
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| More information needed |
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|
| ## Intended uses & limitations |
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|
| More information needed |
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|
| ## Training and evaluation data |
|
|
| More information needed |
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|
| ## Training procedure |
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|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0005 |
| - train_batch_size: 8 |
| - eval_batch_size: 4 |
| - seed: 1 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 16 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.01 |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:-----:|:---------------:| |
| | 2.4182 | 0.5 | 4994 | 1.4933 | |
| | 1.4626 | 1.0 | 9988 | 1.3082 | |
| | 1.3176 | 1.5 | 14982 | 1.2276 | |
| | 1.2604 | 2.0 | 19976 | 1.1815 | |
| | 1.2101 | 2.5 | 24970 | 1.1499 | |
| | 1.1804 | 3.0 | 29964 | 1.1260 | |
| | 1.1517 | 3.5 | 34958 | 1.1043 | |
| | 1.1349 | 4.0 | 39952 | 1.0887 | |
| | 1.1133 | 4.5 | 44946 | 1.0762 | |
| | 1.0995 | 5.0 | 49940 | 1.0618 | |
| | 1.0824 | 5.5 | 54934 | 1.0507 | |
| | 1.0713 | 6.0 | 59928 | 1.0423 | |
| | 1.0552 | 6.5 | 64922 | 1.0328 | |
| | 1.0505 | 7.0 | 69916 | 1.0279 | |
| | 1.0365 | 7.5 | 74910 | 1.0217 | |
| | 1.0307 | 8.0 | 79904 | 1.0153 | |
| | 1.022 | 8.5 | 84898 | 1.0107 | |
| | 1.0189 | 9.0 | 89892 | 1.0090 | |
| | 1.0129 | 9.5 | 94886 | 1.0084 | |
| | 1.0139 | 10.0 | 99880 | 1.0086 | |
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| ### Framework versions |
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|
| - Transformers 4.30.2 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.13.1 |
| - Tokenizers 0.13.3 |
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|
