Model save

README.md

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+---
+license: llama3.2
+base_model: meta-llama/Llama-3.2-3B-Instruct
+tags:
+- generated_from_trainer
+model-index:
+- name: llama-music_fold_4
+  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. -->
+
+# llama-music_fold_4
+
+This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.4888
+
+## 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: 2e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.3733        | 1.0   | 183  | 5.2621          |
+| 2.0757        | 2.0   | 366  | 4.6434          |
+| 2.8181        | 3.0   | 549  | 4.4888          |
+
+
+### Framework versions
+
+- Transformers 4.43.1
+- Pytorch 2.3.1
+- Datasets 2.21.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.43.1"
+}