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llamantino7b_2_10_question-answering
lvcalucioli/llamantino7b_2_10_question-answering
llamantino7b_2_10_question-answering is a machine learning model from lvcalucioli. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as llama2.
should probably proofread and complete it, then remove this comment. --
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Model card
From the Hugging Face model README
<!-- 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. -->
llamantino7b_2_10_question-answering
This model is a fine-tuned version of swap-uniba/LLaMAntino-2-7b-hf-ITA on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9768
- Rouge1: 19.35
- Rouge2: 10.89
- Rougel: 18.01
- Rougelsum: 18.19
- R: 16.06
- Gen Len: 1.0
- R@1: 0.0
- R@3: 0.0
- R@5: 0.0
- R@10: 0.0
- R@20: 0.0
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | R | Gen Len | R@1 | R@3 | R@5 | R@10 | R@20 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.7082 | 1.0 | 23 | 1.4263 | 16.0 | 5.83 | 14.16 | 14.7 | 11.97 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 1.1279 | 2.0 | 46 | 1.3286 | 17.65 | 8.25 | 16.23 | 16.85 | 14.02 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.6508 | 3.0 | 69 | 1.3710 | 18.49 | 9.03 | 16.79 | 17.44 | 14.74 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.3175 | 4.0 | 92 | 1.4644 | 19.18 | 9.83 | 17.33 | 17.52 | 15.42 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.1619 | 5.0 | 115 | 1.5859 | 18.93 | 10.18 | 17.36 | 17.62 | 15.47 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0925 | 6.0 | 138 | 1.6658 | 19.06 | 10.78 | 17.65 | 17.86 | 15.81 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0571 | 7.0 | 161 | 1.7225 | 18.85 | 10.28 | 17.28 | 17.54 | 15.45 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0279 | 8.0 | 184 | 1.8907 | 18.94 | 10.96 | 17.61 | 17.74 | 15.82 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0172 | 9.0 | 207 | 1.9558 | 19.32 | 10.79 | 18.01 | 18.18 | 16.02 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0127 | 10.0 | 230 | 1.9768 | 19.35 | 10.89 | 18.01 | 18.19 | 16.06 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Framework versions
- PEFT 0.8.2
- Transformers 4.38.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.2
- Library
- peft
- Type
- llama
- License
- llama2
- Created
- Feb 16, 2024
- Updated
- Feb 16, 2024