| | --- |
| | base_model: juancopi81/lmd-8bars-2048-epochs30_v4 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: lmd-8bars-2048-epochs40_v4 |
| | 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-epochs40_v4 |
| | |
| | This model is a fine-tuned version of [juancopi81/lmd-8bars-2048-epochs30_v4](https://huggingface.co/juancopi81/lmd-8bars-2048-epochs30_v4) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.9128 |
| | |
| | ## 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: 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 | |
| | |:-------------:|:-----:|:-----:|:---------------:| |
| | | 0.959 | 0.5 | 4994 | 0.9735 | |
| | | 0.9841 | 1.0 | 9988 | 0.9691 | |
| | | 0.9779 | 1.5 | 14982 | 0.9632 | |
| | | 0.9818 | 2.0 | 19976 | 0.9590 | |
| | | 0.9736 | 2.5 | 24970 | 0.9610 | |
| | | 0.9715 | 3.0 | 29964 | 0.9552 | |
| | | 0.9629 | 3.5 | 34958 | 0.9520 | |
| | | 0.9623 | 4.0 | 39952 | 0.9435 | |
| | | 0.9509 | 4.5 | 44946 | 0.9442 | |
| | | 0.9499 | 5.0 | 49940 | 0.9404 | |
| | | 0.9367 | 5.5 | 54934 | 0.9334 | |
| | | 0.9376 | 6.0 | 59928 | 0.9308 | |
| | | 0.9247 | 6.5 | 64922 | 0.9270 | |
| | | 0.9255 | 7.0 | 69916 | 0.9200 | |
| | | 0.9163 | 7.5 | 74910 | 0.9184 | |
| | | 0.9123 | 8.0 | 79904 | 0.9160 | |
| | | 0.9071 | 8.5 | 84898 | 0.9147 | |
| | | 0.9042 | 9.0 | 89892 | 0.9132 | |
| | | 0.9026 | 9.5 | 94886 | 0.9124 | |
| | | 0.9012 | 10.0 | 99880 | 0.9128 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.31.0 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.4 |
| | - Tokenizers 0.13.3 |
| | |
