readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: elec-gmusic-familized-model-13-12__17-35-53
    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. -->
  
  # elec-gmusic-familized-model-13-12__17-35-53
  
  This model is a fine-tuned version of [JammyMachina/elec-gmusic-familized-model-13-12__17-35-53](https://huggingface.co/JammyMachina/elec-gmusic-familized-model-13-12__17-35-53) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4303
  
  ## 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: 36
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 0.2509        | 0.1   | 1024  | 0.4268          |
  | 0.2521        | 0.2   | 2048  | 0.4284          |
  | 0.2533        | 0.3   | 3072  | 0.4219          |
  | 0.2517        | 0.4   | 4096  | 0.4245          |
  | 0.2512        | 0.5   | 5120  | 0.4229          |
  | 0.2506        | 0.6   | 6144  | 0.4191          |
  | 0.2512        | 0.71  | 7168  | 0.4247          |
  | 0.2483        | 0.81  | 8192  | 0.4239          |
  | 0.2479        | 0.91  | 9216  | 0.4259          |
  | 0.2498        | 1.01  | 10240 | 0.4262          |
  | 0.2467        | 1.11  | 11264 | 0.4267          |
  | 0.2466        | 1.21  | 12288 | 0.4263          |
  | 0.2449        | 1.31  | 13312 | 0.4251          |
  | 0.2452        | 1.41  | 14336 | 0.4274          |
  | 0.2449        | 1.51  | 15360 | 0.4263          |
  | 0.2444        | 1.61  | 16384 | 0.4240          |
  | 0.2428        | 1.71  | 17408 | 0.4289          |
  | 0.2425        | 1.81  | 18432 | 0.4229          |
  | 0.2424        | 1.91  | 19456 | 0.4291          |
  | 0.2422        | 2.01  | 20480 | 0.4247          |
  | 0.2397        | 2.12  | 21504 | 0.4271          |
  | 0.2397        | 2.22  | 22528 | 0.4226          |
  | 0.2411        | 2.32  | 23552 | 0.4269          |
  | 0.2408        | 2.42  | 24576 | 0.4288          |
  | 0.2392        | 2.52  | 25600 | 0.4223          |
  | 0.2391        | 2.62  | 26624 | 0.4297          |
  | 0.2385        | 2.72  | 27648 | 0.4253          |
  | 0.2371        | 2.82  | 28672 | 0.4297          |
  | 0.2373        | 2.92  | 29696 | 0.4232          |
  | 0.2368        | 3.02  | 30720 | 0.4296          |
  | 0.2355        | 3.12  | 31744 | 0.4327          |
  | 0.2354        | 3.22  | 32768 | 0.4305          |
  | 0.2345        | 3.32  | 33792 | 0.4286          |
  | 0.2355        | 3.42  | 34816 | 0.4350          |
  | 0.2353        | 3.53  | 35840 | 0.4269          |
  | 0.2351        | 3.63  | 36864 | 0.4301          |
  | 0.2336        | 3.73  | 37888 | 0.4301          |
  | 0.2344        | 3.83  | 38912 | 0.4319          |
  | 0.2339        | 3.93  | 39936 | 0.4305          |
  | 0.2326        | 4.03  | 40960 | 0.4298          |
  | 0.2316        | 4.13  | 41984 | 0.4308          |
  | 0.2311        | 4.23  | 43008 | 0.4330          |
  | 0.2315        | 4.33  | 44032 | 0.4313          |
  | 0.2305        | 4.43  | 45056 | 0.4319          |
  | 0.2328        | 4.53  | 46080 | 0.4292          |
  | 0.232         | 4.63  | 47104 | 0.4289          |
  | 0.2309        | 4.73  | 48128 | 0.4303          |
  | 0.23          | 4.83  | 49152 | 0.4317          |
  | 0.2315        | 4.94  | 50176 | 0.4303          |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.1+cu116
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  