End of training
Browse files- README.md +88 -0
- generation_config.json +5 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: mit
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base_model: gpt2
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tags:
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- generated_from_trainer
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model-index:
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- name: midi_nGram_model_1
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# midi_nGram_model_1
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5819
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## 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
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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:
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- learning_rate: 0.0005
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- train_batch_size: 4
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- eval_batch_size: 2
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- seed: 1
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.01
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.7351 | 0.3319 | 300 | 1.0524 |
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| 0.9593 | 0.6637 | 600 | 0.9097 |
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| 0.8817 | 0.9956 | 900 | 0.8554 |
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| 0.8367 | 1.3274 | 1200 | 0.8165 |
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| 0.82 | 1.6593 | 1500 | 0.7934 |
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| 0.8001 | 1.9912 | 1800 | 0.7920 |
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| 0.7731 | 2.3230 | 2100 | 0.7610 |
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| 0.7657 | 2.6549 | 2400 | 0.7509 |
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| 0.7503 | 2.9867 | 2700 | 0.7272 |
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| 0.7262 | 3.3186 | 3000 | 0.7312 |
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| 0.7221 | 3.6504 | 3300 | 0.7056 |
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| 0.7097 | 3.9823 | 3600 | 0.6911 |
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| 0.6853 | 4.3142 | 3900 | 0.6839 |
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| 0.6842 | 4.6460 | 4200 | 0.6726 |
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| 0.675 | 4.9779 | 4500 | 0.6578 |
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| 0.6507 | 5.3097 | 4800 | 0.6525 |
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| 0.6456 | 5.6416 | 5100 | 0.6384 |
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| 0.639 | 5.9735 | 5400 | 0.6309 |
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| 0.6185 | 6.3053 | 5700 | 0.6250 |
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| 0.6117 | 6.6372 | 6000 | 0.6154 |
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| 0.6067 | 6.9690 | 6300 | 0.6083 |
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| 0.5859 | 7.3009 | 6600 | 0.6023 |
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| 0.5822 | 7.6327 | 6900 | 0.5969 |
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| 0.5774 | 7.9646 | 7200 | 0.5912 |
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| 0.5645 | 8.2965 | 7500 | 0.5889 |
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| 0.5616 | 8.6283 | 7800 | 0.5857 |
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| 0.5577 | 8.9602 | 8100 | 0.5839 |
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| 0.5501 | 9.2920 | 8400 | 0.5825 |
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| 0.5508 | 9.6239 | 8700 | 0.5820 |
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| 0.5451 | 9.9558 | 9000 | 0.5819 |
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### Framework versions
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- Transformers 4.46.3
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- Pytorch 2.5.1+cu121
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- Datasets 3.2.0
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- Tokenizers 0.20.3
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generation_config.json
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{
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"_from_model_config": true,
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"pad_token_id": 3,
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"transformers_version": "4.46.3"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 76961160
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version https://git-lfs.github.com/spec/v1
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oid sha256:096a5264ae64f49976a575eacf6ba3572550309cdb08dae17ba8f38d573afb13
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size 76961160
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