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lora_causalLM
Luongdzung/lora_causalLM
lora_causalLM is a machine learning model from Luongdzung. 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 bigscience-bloom-rail-1.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- bigscience-bloom-rail-1.0
- Access
- Public
- Created
- Aug 23, 2024
- Updated
- Aug 23, 2024
- SHA
- b2a5e175
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. -->
lora_causalLM
This model is a fine-tuned version of vlsp-2023-vllm/hoa-1b4 on the eli5_category dataset. It achieves the following results on the evaluation set:
- Loss: 3.0427
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 203 | 3.0643 |
| No log | 2.0 | 406 | 3.0469 |
| 3.0375 | 3.0 | 609 | 3.0427 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
- Library
- peft
- License
- bigscience-bloom-rail-1.0
- Created
- Aug 23, 2024
- Updated
- Aug 23, 2024