Model save

README.md

@@ -0,0 +1,81 @@
+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: OKAI-midi-gen-v-001
+  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-001
+
+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: 10.1912
+- Accuracy: 0.0008
+
+## 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 | Accuracy | Validation Loss |
+|:-------------:|:-------:|:----:|:--------:|:---------------:|
+| 10.2727       | 3.2283  | 100  | 0.0000   | 10.3284         |
+| 9.7582        | 6.4565  | 200  | 0.0026   | 10.0966         |
+| 9.2052        | 9.6848  | 300  | 0.0037   | 9.9513          |
+| 8.8216        | 12.9130 | 400  | 0.0034   | 9.9538          |
+| 8.406         | 16.1304 | 500  | 0.0029   | 9.9524          |
+| 7.8326        | 19.3587 | 600  | 0.0021   | 9.9458          |
+| 7.1956        | 22.5870 | 700  | 0.0017   | 9.9864          |
+| 6.5659        | 25.8152 | 800  | 0.0015   | 9.9258          |
+| 5.9719        | 29.0326 | 900  | 0.0015   | 9.9710          |
+| 5.4031        | 32.2609 | 1000 | 0.0011   | 9.9116          |
+| 4.9784        | 35.4891 | 1100 | 0.0012   | 9.9819          |
+| 4.6684        | 38.7174 | 1200 | 0.0009   | 10.0142         |
+| 4.3184        | 41.9783 | 1300 | 10.0483  | 0.0010          |
+| 4.1251        | 45.1957 | 1400 | 10.0964  | 0.0008          |
+| 3.909         | 48.4239 | 1500 | 10.1322  | 0.0009          |
+| 3.7535        | 51.6522 | 1600 | 10.1587  | 0.0009          |
+| 3.681         | 54.8804 | 1700 | 10.1785  | 0.0008          |
+| 3.688         | 58.0978 | 1800 | 10.1871  | 0.0008          |
+| 3.6685        | 61.3261 | 1900 | 10.1912  | 0.0008          |
+| 3.6326        | 64.5543 | 2000 | 10.1912  | 0.0008          |
+
+
+### Framework versions
+
+- Transformers 4.52.3
+- Pytorch 2.6.0
+- Datasets 3.6.0
+- Tokenizers 0.21.1

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.52.3"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1b697653fb1fadb3338a18ba8ca2e508da3603eebebb92cd2d4d0a19bf2b728f
+oid sha256:133803980633517d49e0d4318274305805364cb5ef5cfb40dcc6a2a0412ade8e
 size 66690264

runs/Jun12_14-55-19_SandersLaptop2.home/events.out.tfevents.1749732921.SandersLaptop2.home

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a19ac3e22c3a332b16b5ce978d5becf35ec1fd426436bb73ec7eb567e23a4fc7
-size 14125
+oid sha256:b8499bf0b167d073884172c9cdeabfd733eadf9407d5050fc432633f5c2e2855
+size 16180