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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: improved_4bars-mdl |
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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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# improved_4bars-mdl |
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This model is a fine-tuned version of [JammyMachina/improved_4bars-mdl](https://huggingface.co/JammyMachina/improved_4bars-mdl) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8519 |
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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: 5e-05 |
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- train_batch_size: 21 |
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- eval_batch_size: 24 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.2574 | 0.1 | 1024 | 0.7889 | |
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| 0.2633 | 0.21 | 2048 | 0.7802 | |
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| 0.2635 | 0.31 | 3072 | 0.7877 | |
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| 0.2639 | 0.41 | 4096 | 0.7751 | |
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| 0.2625 | 0.52 | 5120 | 0.7836 | |
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| 0.2609 | 0.62 | 6144 | 0.7758 | |
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| 0.2597 | 0.73 | 7168 | 0.7923 | |
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| 0.2612 | 0.83 | 8192 | 0.8000 | |
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| 0.2612 | 0.93 | 9216 | 0.7935 | |
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| 0.2554 | 1.04 | 10240 | 0.7943 | |
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| 0.2524 | 1.14 | 11264 | 0.8015 | |
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| 0.2504 | 1.24 | 12288 | 0.7962 | |
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| 0.2524 | 1.35 | 13312 | 0.8086 | |
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| 0.2521 | 1.45 | 14336 | 0.8062 | |
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| 0.2503 | 1.55 | 15360 | 0.7998 | |
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| 0.2523 | 1.66 | 16384 | 0.8098 | |
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| 0.251 | 1.76 | 17408 | 0.8213 | |
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| 0.2509 | 1.86 | 18432 | 0.8138 | |
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| 0.2533 | 1.97 | 19456 | 0.8182 | |
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| 0.245 | 2.07 | 20480 | 0.8290 | |
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| 0.2432 | 2.18 | 21504 | 0.8328 | |
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| 0.2435 | 2.28 | 22528 | 0.8187 | |
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| 0.2423 | 2.38 | 23552 | 0.8238 | |
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| 0.2443 | 2.49 | 24576 | 0.8249 | |
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| 0.2431 | 2.59 | 25600 | 0.8253 | |
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| 0.2432 | 2.69 | 26624 | 0.8269 | |
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| 0.2421 | 2.8 | 27648 | 0.8282 | |
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| 0.2421 | 2.9 | 28672 | 0.8268 | |
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| 0.243 | 3.0 | 29696 | 0.8345 | |
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| 0.2367 | 3.11 | 30720 | 0.8424 | |
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| 0.237 | 3.21 | 31744 | 0.8374 | |
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| 0.2351 | 3.32 | 32768 | 0.8431 | |
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| 0.2374 | 3.42 | 33792 | 0.8425 | |
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| 0.2355 | 3.52 | 34816 | 0.8352 | |
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| 0.2373 | 3.63 | 35840 | 0.8452 | |
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| 0.2356 | 3.73 | 36864 | 0.8383 | |
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| 0.2343 | 3.83 | 37888 | 0.8444 | |
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| 0.2348 | 3.94 | 38912 | 0.8428 | |
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| 0.2349 | 4.04 | 39936 | 0.8480 | |
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| 0.2327 | 4.14 | 40960 | 0.8482 | |
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| 0.2337 | 4.25 | 41984 | 0.8510 | |
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| 0.2288 | 4.35 | 43008 | 0.8499 | |
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| 0.2299 | 4.45 | 44032 | 0.8522 | |
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| 0.2277 | 4.56 | 45056 | 0.8526 | |
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| 0.2301 | 4.66 | 46080 | 0.8518 | |
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| 0.2312 | 4.77 | 47104 | 0.8511 | |
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| 0.2284 | 4.87 | 48128 | 0.8507 | |
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| 0.2294 | 4.97 | 49152 | 0.8519 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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