File size: 1,374 Bytes
084b0a1 39f04be 8486aed 39f04be 8486aed 39f04be 8486aed 084b0a1 8486aed 084b0a1 8486aed 084b0a1 fe4dc14 084b0a1 8486aed 084b0a1 8486aed 084b0a1 8486aed 084b0a1 8486aed 084b0a1 8486aed 084b0a1 8486aed 084b0a1 8486aed 084b0a1 8486aed 084b0a1 8486aed 084b0a1 8486aed 084b0a1 39f04be 8486aed | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 | ---
library_name: peft
base_model: ziadrone/semanticoneplusaries1
tags:
- base_model:adapter:ziadrone/semanticoneplusaries1
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: semanticoneplusaries1
results: []
---
<!-- 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. -->
# semanticoneplusaries1
This model is a fine-tuned version of [ziadrone/semanticoneplusaries1](https://huggingface.co/ziadrone/semanticoneplusaries1) on the None dataset.
## 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: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
### Training results
### Framework versions
- PEFT 0.16.0
- Transformers 4.54.1
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4 |