File size: 1,855 Bytes
3b302fd |
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 60 61 62 63 64 65 66 67 68 69 70 71 |
<!-- ---
base_model: /home/ray/default/save/SFT_merge
library_name: peft
license: other
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: Orca_End
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. -->
# Orca_End
This model is a fine-tuned version of [/home/ray/default/save/SFT_merge](https://huggingface.co//home/ray/default/save/SFT_merge) on the WordProblems_SFT_LLama_End dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1417
## 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: 2
- 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: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 2.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.2267 | 0.2341 | 500 | 0.2229 |
| 0.177 | 0.4682 | 1000 | 0.1735 |
| 0.1592 | 0.7022 | 1500 | 0.1591 |
| 0.1572 | 0.9363 | 2000 | 0.1515 |
| 0.142 | 1.1704 | 2500 | 0.1472 |
| 0.1376 | 1.4045 | 3000 | 0.1441 |
| 0.1569 | 1.6386 | 3500 | 0.1425 |
| 0.1413 | 1.8727 | 4000 | 0.1417 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.3.0+cu121
- Datasets 2.17.1
- Tokenizers 0.19.1 |