End of training

README.md

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+---
+license: mit
+base_model: gpt2
+tags:
+- generated_from_trainer
+model-index:
+- name: midi_model_2
+  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. -->
+
+# midi_model_2
+
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8079
+
+## 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: 4
+- eval_batch_size: 2
+- seed: 1
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.01
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.3022        | 0.11  | 100  | 1.7587          |
+| 1.5783        | 0.22  | 200  | 1.2644          |
+| 1.1475        | 0.33  | 300  | 1.0365          |
+| 1.0012        | 0.44  | 400  | 0.9359          |
+| 0.936         | 0.55  | 500  | 0.8844          |
+| 0.8895        | 0.66  | 600  | 0.8532          |
+| 0.8714        | 0.77  | 700  | 0.8273          |
+| 0.8521        | 0.88  | 800  | 0.8112          |
+| 0.8455        | 1.0   | 900  | 0.8079          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

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+{
+  "_from_model_config": true,
+  "pad_token_id": 3,
+  "transformers_version": "4.35.2"
+}