End of training
Browse files- README.md +6 -6
- adapter_config.json +10 -10
- all_results.json +10 -10
- eval_results.json +5 -5
- tokenizer_config.json +0 -4
- train_results.json +5 -5
- trainer_state.json +6 -6
README.md
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- text-to-audio
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- ylacombe/tiny-punk
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- generated_from_trainer
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base_model: facebook/musicgen-melody
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model-index:
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- name: musicgen-melody-punk-lora
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# musicgen-melody-punk-lora
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This model is a fine-tuned version of [facebook/musicgen-melody](https://huggingface.co/facebook/musicgen-melody) on the YLACOMBE/TINY-PUNK - DEFAULT dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Clap:
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## Model description
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- text-to-audio
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- ylacombe/tiny-punk
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- generated_from_trainer
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base_model: facebook/musicgen-melody-large
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model-index:
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- name: musicgen-melody-large-punk-lora
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# musicgen-melody-large-punk-lora
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This model is a fine-tuned version of [facebook/musicgen-melody-large](https://huggingface.co/facebook/musicgen-melody-large) on the YLACOMBE/TINY-PUNK - DEFAULT dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.7045
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- Clap: 0.3319
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## Model description
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adapter_config.json
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"base_model_class": "MusicgenMelodyForConditionalGeneration",
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"parent_library": "transformers.models.musicgen_melody.modeling_musicgen_melody"
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},
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"base_model_name_or_path": "facebook/musicgen-melody",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"revision": null,
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"target_modules": [
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"enc_to_dec_proj",
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"
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"fc2",
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"
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"lm_heads.2",
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"embed_tokens.0",
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"lm_heads.1",
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"q_proj",
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"k_proj",
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"
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"embed_tokens.2",
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"embed_tokens.3",
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"v_proj",
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"lm_heads.0",
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"audio_enc_to_dec_proj",
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"
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],
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"task_type": null,
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"use_dora": false,
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"base_model_class": "MusicgenMelodyForConditionalGeneration",
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"parent_library": "transformers.models.musicgen_melody.modeling_musicgen_melody"
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},
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"base_model_name_or_path": "facebook/musicgen-melody-large",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"revision": null,
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"target_modules": [
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"enc_to_dec_proj",
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"embed_tokens.1",
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"fc2",
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"v_proj",
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"lm_heads.1",
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"q_proj",
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"k_proj",
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"lm_heads.3",
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"lm_heads.0",
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"embed_tokens.0",
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"audio_enc_to_dec_proj",
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"out_proj",
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"embed_tokens.3",
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"fc1",
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"embed_tokens.2",
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"lm_heads.2"
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],
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"task_type": null,
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"use_dora": false,
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all_results.json
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{
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"total_flos":
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{
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"eval_clap": 0.3319118022918701,
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"eval_loss": 4.704505920410156,
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"eval_runtime": 149.2288,
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"eval_samples": 5,
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"eval_samples_per_second": 0.034,
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"eval_steps_per_second": 0.034,
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"total_flos": 59875624258368.0,
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"train_loss": 8.819560050964355,
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"train_runtime": 362.7337,
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"train_samples": 33,
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"train_samples_per_second": 0.364,
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"train_steps_per_second": 0.022
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}
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eval_results.json
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"eval_clap":
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"eval_clap": 0.3319118022918701,
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"eval_loss": 4.704505920410156,
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"eval_runtime": 149.2288,
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"eval_samples": 5,
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"eval_samples_per_second": 0.034,
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"eval_steps_per_second": 0.034
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}
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tokenizer_config.json
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"clean_up_tokenization_spaces": true,
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"eos_token": "</s>",
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"extra_ids": 100,
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"max_length": null,
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"model_max_length": 512,
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"pad_token": "<pad>",
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"pad_token_type_id": 0,
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"padding_side": "right",
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"processor_class": "MusicgenMelodyProcessor",
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"tokenizer_class": "T5Tokenizer",
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"unk_token": "<unk>"
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"clean_up_tokenization_spaces": true,
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"eos_token": "</s>",
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"extra_ids": 100,
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"model_max_length": 512,
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"pad_token": "<pad>",
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"processor_class": "MusicgenMelodyProcessor",
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"tokenizer_class": "T5Tokenizer",
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"unk_token": "<unk>"
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train_results.json
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{
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trainer_state.json
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