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---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: yam-peleg/Experiment26-7B
model-index:
- name: flippa-exp26-v3-7b
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. -->
# flippa-exp26-v3-7b
This model is a fine-tuned version of [yam-peleg/Experiment26-7B](https://huggingface.co/yam-peleg/Experiment26-7B) on the cognitivecomputations/dolphin flan1malpaca and dolphincoder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2118
## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4828 | 1.0 | 500 | 1.3111 |
| 1.1442 | 2.0 | 1000 | 1.2297 |
| 1.1031 | 3.0 | 1500 | 1.2118 |
### Framework versions
- PEFT 0.9.0
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2 |