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README.md +70 -0
adapter_config.json +46 -0
adapter_model.safetensors +3 -0
config.json +299 -0
preprocessor_config.json +17 -0
special_tokens_map.json +125 -0
spiece.model +3 -0
tokenizer.json +0 -0
tokenizer_config.json +938 -0
training_args.bin +3 -0

README.md ADDED Viewed

	@@ -0,0 +1,70 @@

+---
+license: cc-by-nc-4.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: facebook/musicgen-melody-large
+model-index:
+- name: black-eyed-peas-v1-unprompted
+  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. -->
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/sanchit-gandhi/black-eyed-peas/runs/3nn9uham)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/sanchit-gandhi/black-eyed-peas/runs/3nn9uham)
+# black-eyed-peas-v1-unprompted
+This model is a fine-tuned version of [facebook/musicgen-melody-large](https://huggingface.co/facebook/musicgen-melody-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.0311
+- Clap: -0.0541
+## 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: 0.0002
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 456
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2.0
+- mixed_precision_training: Native AMP
+### Training results
+| Training Loss | Epoch  | Step | Validation Loss | Clap    |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 8.2807        | 0.3306 | 5    | 3.0158          | 0.0162  |
+| 6.536         | 0.6612 | 10   | 3.2537          | 0.0074  |
+| 6.1596        | 0.9917 | 15   | 4.2961          | -0.0395 |
+| 6.44          | 1.3223 | 20   | 4.8764          | -0.0380 |
+| 6.4944        | 1.6529 | 25   | 5.0227          | -0.0586 |
+| 6.3776        | 1.9835 | 30   | 5.0311          | -0.0541 |
+### Framework versions
+- PEFT 0.10.0
+- Transformers 4.41.0.dev0
+- Pytorch 2.3.0+cu121
+- Datasets 2.18.1.dev0
+- Tokenizers 0.19.1

adapter_config.json ADDED Viewed

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+{
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+  "auto_mapping": {
+    "base_model_class": "MusicgenMelodyForConditionalGeneration",
+    "parent_library": "transformers.models.musicgen_melody.modeling_musicgen_melody"
+  },
+  "base_model_name_or_path": "facebook/musicgen-melody-large",
+  "bias": "none",
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+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
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+  "megatron_core": "megatron.core",
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+  "peft_type": "LORA",
+  "r": 16,
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+  "target_modules": [
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+    "q_proj",
+    "lm_heads.3",
+    "enc_to_dec_proj",
+    "embed_tokens.2",
+    "fc1",
+    "out_proj",
+    "embed_tokens.1",
+    "embed_tokens.3",
+    "lm_heads.0",
+    "v_proj",
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+    "lm_heads.1",
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+  "use_rslora": false
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+  "eos_token": "</s>",
+  "extra_ids": 100,
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "processor_class": "MusicgenMelodyProcessor",
+  "tokenizer_class": "T5Tokenizer",
+  "unk_token": "<unk>"
+}

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