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README.md
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---
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license: llama3
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library_name: peft
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tags:
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- trl
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- sft
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- generated_from_trainer
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base_model: meta-llama/Meta-Llama-3-8B-Instruct
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datasets:
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- generator
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model-index:
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- name: MIDIGen_Llama3_8B-Instruct_finetuned_10epochs
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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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# MIDIGen_Llama3_8B-Instruct_finetuned_10epochs
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6254
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 128
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- total_eval_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:-----:|:---------------:|
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| 0.6577 | 0.9996 | 1386 | 0.6565 |
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| 0.6373 | 2.0 | 2773 | 0.6403 |
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| 0.6294 | 2.9996 | 4159 | 0.6344 |
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| 0.6256 | 4.0 | 5546 | 0.6313 |
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| 0.6257 | 4.9996 | 6932 | 0.6294 |
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| 0.6255 | 6.0 | 8319 | 0.6280 |
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| 0.6201 | 6.9996 | 9705 | 0.6271 |
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| 0.6205 | 8.0 | 11092 | 0.6264 |
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| 0.6205 | 8.9996 | 12478 | 0.6259 |
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| 0.6252 | 9.9964 | 13860 | 0.6254 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.40.0
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- Pytorch 2.1.0
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- Datasets 2.18.0
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- Tokenizers 0.19.1
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