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update model card README.md

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+ ---
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+ base_model: juancopi81/lmd-8bars-2048-epochs30_v4
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: lmd-8bars-2048-epochs30_v4
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+ results: []
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+ ---
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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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+
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+ # lmd-8bars-2048-epochs30_v4
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+
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+ 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.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9294
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 8
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+ - eval_batch_size: 4
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+ - seed: 1
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 16
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - num_epochs: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.9882 | 0.5 | 4994 | 0.9826 |
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+ | 0.9945 | 1.0 | 9988 | 0.9719 |
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+ | 0.9814 | 1.5 | 14982 | 0.9667 |
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+ | 0.9783 | 2.0 | 19976 | 0.9565 |
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+ | 0.963 | 2.5 | 24970 | 0.9501 |
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+ | 0.9534 | 3.0 | 29964 | 0.9406 |
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+ | 0.94 | 3.5 | 34958 | 0.9384 |
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+ | 0.9341 | 4.0 | 39952 | 0.9311 |
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+ | 0.9246 | 4.5 | 44946 | 0.9293 |
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+ | 0.9224 | 5.0 | 49940 | 0.9294 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.31.0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.0
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+ - Tokenizers 0.13.3