Model save

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: OKAI-midi-gen-v-004
+  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-004
+
+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: 10.2911
+- Accuracy: 0.0003
+
+## 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 |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|
+| 10.2092       | 3.2283  | 100  | 10.2764         | 0.0004   |
+| 9.7373        | 6.4565  | 200  | 10.0773         | 0.0020   |
+| 9.2158        | 9.6848  | 300  | 9.9404          | 0.0023   |
+| 8.8101        | 12.9130 | 400  | 9.9445          | 0.0027   |
+| 8.3439        | 16.1304 | 500  | 9.9546          | 0.0016   |
+| 7.7001        | 19.3587 | 600  | 9.9316          | 0.0012   |
+| 6.9652        | 22.5870 | 700  | 9.9396          | 0.0007   |
+| 6.2067        | 25.8152 | 800  | 9.9274          | 0.0007   |
+| 5.5185        | 29.0326 | 900  | 9.9435          | 0.0007   |
+| 4.8318        | 32.2609 | 1000 | 9.9918          | 0.0004   |
+| 4.343         | 35.4891 | 1100 | 10.0255         | 0.0004   |
+| 3.9477        | 38.7174 | 1200 | 10.0792         | 0.0004   |
+| 3.5394        | 41.9457 | 1300 | 10.1247         | 0.0002   |
+| 3.2964        | 45.1630 | 1400 | 10.1824         | 0.0003   |
+| 3.0237        | 48.3913 | 1500 | 10.2247         | 0.0003   |
+| 2.8621        | 51.6196 | 1600 | 10.2556         | 0.0003   |
+| 2.765         | 54.8478 | 1700 | 10.2756         | 0.0001   |
+| 2.7383        | 58.0652 | 1800 | 10.2867         | 0.0003   |
+| 2.7324        | 61.2935 | 1900 | 10.2906         | 0.0003   |
+| 2.6918        | 64.5217 | 2000 | 10.2911         | 0.0003   |
+
+
+### 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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 size 86625328

runs/Jun13_19-29-27_SandersLaptop2.home/events.out.tfevents.1749835768.SandersLaptop2.home

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