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opt-125m-lora-finetuned
kapalisujan/opt-125m-lora-finetuned
opt-125m-lora-finetuned is a machine learning model from kapalisujan. 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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.json4.4 MB · 61%
At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- Nov 18, 2024
- Updated
- Nov 18, 2024
- SHA
- a586b0f2
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-125m-lora-finetuned
This model is a fine-tuned version of facebook/opt-125m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2070
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.4181 | 1.0 | 1181 | 3.2588 |
| 3.3155 | 2.0 | 2362 | 3.2151 |
| 3.2758 | 3.0 | 3543 | 3.2070 |
Framework versions
- PEFT 0.13.2
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
- Library
- peft
- License
- other
- Created
- Nov 18, 2024
- Updated
- Nov 18, 2024