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--- |
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base_model: meta-llama/Meta-Llama-3-8B |
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datasets: |
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- llama-duo/synth_summarize_dataset_dedup |
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library_name: peft |
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license: llama3 |
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tags: |
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- alignment-handbook |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: llama3-8b-summarize-gpt4o-128k |
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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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# llama3-8b-summarize-gpt4o-128k |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the llama-duo/synth_summarize_dataset_dedup dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2606 |
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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: 0.0002 |
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- train_batch_size: 8 |
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- eval_batch_size: 4 |
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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: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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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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| 0.8176 | 0.9954 | 109 | 2.1150 | |
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| 0.7464 | 2.0 | 219 | 2.1313 | |
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| 0.7128 | 2.9954 | 328 | 2.1444 | |
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| 0.6924 | 4.0 | 438 | 2.1631 | |
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| 0.6777 | 4.9954 | 547 | 2.1823 | |
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| 0.6526 | 6.0 | 657 | 2.2078 | |
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| 0.6326 | 6.9954 | 766 | 2.2296 | |
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| 0.6311 | 8.0 | 876 | 2.2485 | |
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| 0.6233 | 8.9954 | 985 | 2.2587 | |
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| 0.6194 | 9.9543 | 1090 | 2.2606 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.0 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
