llama_summarizer_5
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.7540
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4363 | 4.0 | 1576 | 1.5222 |
| 0.3209 | 8.0 | 3152 | 2.4349 |
| 0.2798 | 12.0 | 4728 | 2.7345 |
| 0.2285 | 16.0 | 6304 | 2.7018 |
| 0.2401 | 20.0 | 7880 | 2.7540 |
Framework versions
- PEFT 0.12.1.dev0
- Transformers 4.45.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for zera09/llama_summarizer_5
Base model
meta-llama/Meta-Llama-3-8B-Instruct