File size: 1,834 Bytes
064fd11 84dccc2 064fd11 7c718bc 064fd11 7c718bc 064fd11 7c718bc 064fd11 84dccc2 064fd11 84dccc2 064fd11 84dccc2 064fd11 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 |
---
base_model: facebook/musicgen-large
library_name: peft
license: cc-by-nc-4.0
tags:
- text-to-audio
- j-11045/indian-music-with-metadata-2
- generated_from_trainer
model-index:
- name: musicgen-medium
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. -->
# musicgen-medium
This model is a fine-tuned version of [facebook/musicgen-large](https://huggingface.co/facebook/musicgen-large) on the J-11045/INDIAN-MUSIC-WITH-METADATA-2 - DEFAULT dataset.
It achieves the following results on the evaluation set:
- Loss: 5.8703
- Clap: -0.0918
## 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: 2
- eval_batch_size: 1
- seed: 456
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.99) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Clap |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 42.3441 | 0.4739 | 25 | 11.2322 | 0.1068 |
| 37.4697 | 0.9479 | 50 | 5.8964 | -0.0773 |
| 37.8209 | 1.4265 | 75 | 5.9483 | -0.1071 |
| 36.2328 | 1.9005 | 100 | 5.8852 | -0.1152 |
### Framework versions
- PEFT 0.13.2
- Transformers 4.46.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1 |