Model save

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: OKAI-midi-gen-v-002
+  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. -->
+
+# OKAI-midi-gen-v-002
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 10.7039
+- Accuracy: 0.0004
+
+## 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: 0.0001
+- train_batch_size: 8
+- eval_batch_size: 16
+- seed: 444
+- gradient_accumulation_steps: 3
+- total_train_batch_size: 24
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine_with_restarts
+- lr_scheduler_warmup_ratio: 0.3
+- training_steps: 2000
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|
+| 10.2078       | 3.2283  | 100  | 10.2675         | 0.0004   |
+| 9.6734        | 6.4565  | 200  | 10.0564         | 0.0030   |
+| 9.1879        | 9.6848  | 300  | 9.9516          | 0.0036   |
+| 8.8395        | 12.9130 | 400  | 9.9849          | 0.0038   |
+| 8.4477        | 16.1304 | 500  | 10.0295         | 0.0037   |
+| 7.9007        | 19.3587 | 600  | 10.0765         | 0.0023   |
+| 7.2277        | 22.5870 | 700  | 10.1370         | 0.0016   |
+| 6.5655        | 25.8152 | 800  | 10.2042         | 0.0011   |
+| 5.8915        | 29.0326 | 900  | 10.2386         | 0.0010   |
+| 5.1573        | 32.2609 | 1000 | 10.3026         | 0.0006   |
+| 4.6311        | 35.4891 | 1100 | 10.3649         | 0.0006   |
+| 4.1848        | 38.7174 | 1200 | 10.4672         | 0.0005   |
+| 3.7458        | 41.9457 | 1300 | 10.5312         | 0.0003   |
+| 3.487         | 45.1630 | 1400 | 10.5832         | 0.0003   |
+| 3.206         | 48.3913 | 1500 | 10.6327         | 0.0005   |
+| 3.0194        | 51.6196 | 1600 | 10.6676         | 0.0005   |
+| 2.9182        | 54.8478 | 1700 | 10.6874         | 0.0005   |
+| 2.9033        | 58.0652 | 1800 | 10.6992         | 0.0004   |
+| 2.8987        | 61.2935 | 1900 | 10.7033         | 0.0005   |
+| 2.8351        | 64.5217 | 2000 | 10.7039         | 0.0004   |
+
+
+### Framework versions
+
+- Transformers 4.52.3
+- Pytorch 2.6.0
+- Datasets 3.6.0
+- Tokenizers 0.21.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.52.3"
+}

model.safetensors

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runs/Jun13_00-38-22_SandersLaptop2.home/events.out.tfevents.1749767903.SandersLaptop2.home

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