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opt_finetuned
danieladeeko/opt_finetuned
opt_finetuned is a machine learning model from danieladeeko. 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 other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- Sep 14, 2024
- Updated
- Sep 14, 2024
- SHA
- 8e34a45a
Base models
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. -->
opt_finetuned
This model is a fine-tuned version of facebook/opt-6.7b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7169
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7961 | 0.9989 | 437 | 2.7176 |
| 2.9806 | 2.0 | 875 | 2.7131 |
| 2.6382 | 2.9989 | 1312 | 2.7142 |
| 2.6705 | 3.9954 | 1748 | 2.7169 |
Framework versions
- PEFT 0.12.1.dev0
- Transformers 4.45.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
- Library
- peft
- License
- other
- Created
- Sep 14, 2024
- Updated
- Sep 14, 2024