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summarization-llama-2-finetuned
patrickowor/summarization-llama-2-finetuned
summarization-llama-2-finetuned is a machine learning model from patrickowor. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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Updated Mar 30, 2024
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At a glance
- Access
- Public
- Created
- Mar 30, 2024
- Updated
- Mar 30, 2024
- SHA
- 35113b9b
Base models
Datasets
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. -->
summarization-llama-2-finetuned
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the ssummarised/llama dataset. It achieves the following results on the evaluation set:
- Loss: 1.9288
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8414 | 1.0 | 1992 | 1.9288 |
| 1.8702 | 2.0 | 3984 | 1.9318 |
| 1.8225 | 3.0 | 5976 | 1.9547 |
| 1.3566 | 4.0 | 7968 | 1.9716 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
- Created
- Mar 30, 2024
- Updated
- Mar 30, 2024