File size: 3,366 Bytes
ec9bbbe |
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 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 |
---
license: apache-2.0
library_name: peft
tags:
- unsloth
- generated_from_trainer
base_model: Qwen/Qwen2-7B
model-index:
- name: qwen2_Magiccoder_evol_10k_ortho
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. -->
# qwen2_Magiccoder_evol_10k_ortho
This model is a fine-tuned version of [Qwen/Qwen2-7B](https://huggingface.co/Qwen/Qwen2-7B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8039
## 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.02
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.8045 | 0.0261 | 4 | 0.8796 |
| 0.8394 | 0.0522 | 8 | 0.8315 |
| 0.8027 | 0.0784 | 12 | 0.8188 |
| 0.7742 | 0.1045 | 16 | 0.8136 |
| 0.8206 | 0.1306 | 20 | 0.8118 |
| 0.7117 | 0.1567 | 24 | 0.8110 |
| 0.7248 | 0.1828 | 28 | 0.8097 |
| 0.893 | 0.2089 | 32 | 0.8113 |
| 0.7788 | 0.2351 | 36 | 0.8096 |
| 0.8043 | 0.2612 | 40 | 0.8098 |
| 0.8427 | 0.2873 | 44 | 0.8108 |
| 0.8171 | 0.3134 | 48 | 0.8098 |
| 0.7509 | 0.3395 | 52 | 0.8103 |
| 0.7373 | 0.3656 | 56 | 0.8105 |
| 0.7708 | 0.3918 | 60 | 0.8107 |
| 0.7942 | 0.4179 | 64 | 0.8109 |
| 0.8188 | 0.4440 | 68 | 0.8103 |
| 0.768 | 0.4701 | 72 | 0.8100 |
| 0.786 | 0.4962 | 76 | 0.8095 |
| 0.7728 | 0.5223 | 80 | 0.8094 |
| 0.8575 | 0.5485 | 84 | 0.8091 |
| 0.7635 | 0.5746 | 88 | 0.8088 |
| 0.8469 | 0.6007 | 92 | 0.8082 |
| 0.7647 | 0.6268 | 96 | 0.8078 |
| 0.8741 | 0.6529 | 100 | 0.8073 |
| 0.7574 | 0.6790 | 104 | 0.8067 |
| 0.8048 | 0.7052 | 108 | 0.8061 |
| 0.7615 | 0.7313 | 112 | 0.8056 |
| 0.7452 | 0.7574 | 116 | 0.8051 |
| 0.7191 | 0.7835 | 120 | 0.8049 |
| 0.7999 | 0.8096 | 124 | 0.8046 |
| 0.7317 | 0.8357 | 128 | 0.8045 |
| 0.8619 | 0.8619 | 132 | 0.8044 |
| 0.8071 | 0.8880 | 136 | 0.8040 |
| 0.8034 | 0.9141 | 140 | 0.8040 |
| 0.7892 | 0.9402 | 144 | 0.8040 |
| 0.8291 | 0.9663 | 148 | 0.8040 |
| 0.7938 | 0.9925 | 152 | 0.8039 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1 |