MIDIGen_Llama3_8B-Instruct_finetuned_10epochs
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.6254
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6577 | 0.9996 | 1386 | 0.6565 |
| 0.6373 | 2.0 | 2773 | 0.6403 |
| 0.6294 | 2.9996 | 4159 | 0.6344 |
| 0.6256 | 4.0 | 5546 | 0.6313 |
| 0.6257 | 4.9996 | 6932 | 0.6294 |
| 0.6255 | 6.0 | 8319 | 0.6280 |
| 0.6201 | 6.9996 | 9705 | 0.6271 |
| 0.6205 | 8.0 | 11092 | 0.6264 |
| 0.6205 | 8.9996 | 12478 | 0.6259 |
| 0.6252 | 9.9964 | 13860 | 0.6254 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.1.0
- Datasets 2.18.0
- Tokenizers 0.19.1
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Model tree for MikeMpapa/MIDIGen_Llama3_8B-Instruct_finetuned_10epochs
Base model
meta-llama/Meta-Llama-3-8B-Instruct